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Machine Learning Infrastructure Engineer, Technology
at Point72
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted 9 hours ago
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- Compensation
- $185,000 – $300,000 USD
- City
- Country
- United States
Currency: $ (USD)
**Machine Learning Infrastructure Engineer (Senior) sought for tech role. Build, manage ML infrastructure, ensuring resiliency & scalability. Required: 5+ years ML exp., proficient in Python, AWS, TensorFlow, experience with caching strategies, strong troubleshooting skills. Join innovative team focused on real-time machine learning.**
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Machine Learning Infrastructure Engineer, Technology Career
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","title":"Machine Learning Infrastructure Engineer, Technology","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-07\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo00001xQG8vIAG\"},\"Id\":\"a03Vo00001xQG8vIAG\",\"Name\":\"Machine Learning Infrastructure Engineer, Technology\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000XyPLsIAN\",\"Job_Code__c\":\"PIT-0015159\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgAOAAZ\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Software & System Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology Team\u003C/h3\u003E\\n\u003Cp\u003EAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003EAs a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. \u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDesign and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact\u003C/li\u003E\u003Cli\u003EDesign and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows\u003C/li\u003E\u003Cli\u003ECollaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency\u003C/li\u003E\u003Cli\u003EDevelop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)\u003C/li\u003E\u003Cli\u003EImplement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend\u003C/li\u003E\u003Cli\u003EEvaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput\u003C/li\u003E\u003Cli\u003EDrive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures\u003C/li\u003E\u003Cli\u003ETroubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability\u003C/li\u003E\u003Cli\u003EDocument architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelor\'s or master\'s degree in computer science, electrical engineering, or a related technical field\u003C/li\u003E\u003Cli\u003E3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems\u003C/li\u003E\u003Cli\u003EDeep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure\u003C/li\u003E\u003Cli\u003EHands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform\u003C/li\u003E\u003Cli\u003EStrong understanding of reinforcement learning concepts and their infrastructure implications\u003C/li\u003E\u003Cli\u003EProficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust\u003C/li\u003E\u003Cli\u003EStrong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks\u003C/li\u003E\u003Cli\u003EExperience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments\u003C/li\u003E\u003Cli\u003EExcellent collaboration and communication skills with a systems-thinking mindset\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:\u003C/p\u003E\\n\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ENon-profit matching gift program\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, minorities and the LGBT+ community\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit \u003Ca href=\\\"https://www.Point72.com/working-here\\\\\\\" target=\\\"_blank\\\"\u003Ewww.Point72.com/working-here\u003C/a\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $185,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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border-color: var(--p72-color-button-background, #b08725); color: var(--p72-color-button-text, #f5f4ee); } .c-menu-mega { opacity: 0; visibility: hidden; transform: translateY(5px); transition: opacity 0.15s ease-out, transform 0.15s ease-out; will-change: opacity, transform; } body.header-scrolled .c-header { top: var(--p72-cookie-consent-height, 0px) !important; } body.header-scrolled .c-menu-mobile { /*top: 0 !important;*/ } /* Header common style */ .c-header, .c-header.l-wrap, .c-header .l-wrap { transition: none !important; will-change: auto; } /* Optional: reset header when scrolled */ body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap, body.header-scrolled .c-header .l-wrap { top: 0 !important; } @media only screen and (max-width:768px) { .c-cookie-consent__container { padding: 8px 10px !important; } body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap { padding-top: 13px; !important; } body.header-scrolled .c-header .l-wrap { padding-top: 13px; !important; } .c-cookie-consent__content p,.c-cookie-consent__content a { max-width: 100% !important; font-family:"Aptos", sans-serif; font-size:14px !important; line-height:18.2px !important; } } /* ========================================================= Combined CSS: c-menu-mobile + u-hide-after--md + u-spacing--lg Includes required variables + hamburger related CSS ========================================================= */ /* ========================================================= Required Variables ========================================================= */ :root { --p72-header-height: 100px; --p72-space-xxs: 0.25rem; --p72-space-xs: 0.5rem; --p72-space-sm: 0.75rem; --p72-space: 1rem; --p72-space-md: 1.5rem; --p72-space-lg: 2rem; --p72-animation-duration: 0.4s; --p72-animation-duration-long: 0.6s; --p72-animation-timing: cubic-bezier(0.65, 0, 0.35, 1); --p72-z-index-5: 5; --p72-border-width: 1px; --p72-font-family-secondary: Aptos, sans-serif; --p72-font-weight-bold: 700; --p72-font-size-heading-xs: 1.25rem; --p72-line-height-tight: 1.1; --p72-letter-spacing-wide: 0.06em; --p72-typography-heading-xs: var(--p72-font-weight-bold) var(--p72-font-size-heading-xs) / var(--p72-line-height-tight) var(--p72-font-family-secondary); --p72-color-brand-cream: #f5f4ee; --p72-color-brand-gold: #b08725; --p72-color-brand-slate: #505a6b; --p72-color-brand-charcoal: #18181a; --p72-color-background: var(--p72-color-brand-charcoal); --p72-color-content: var(--p72-color-brand-cream); --p72-color-content-stronger: var(--p72-color-brand-gold); --p72-color-border: var(--p72-color-brand-slate); --p72-cookie-consent-height: 0px; --p72-icon-size-sm: 0.9375rem; } /* ========================================================= Utility: u-hide-after--md Hidden after medium breakpoint ========================================================= */ @media (min-width: 769px) { .u-hide-after--md { display: none !important; } } /* ========================================================= Utility: u-spacing--lg Adds large vertical spacing between direct children ========================================================= */ .u-spacing--lg > * + * { margin-top: 2rem; margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); visibility: visible; } body.c-menu-mobile-is-active { overflow: hidden; } } /* ========================================================= Mobile Menu Item ========================================================= */ .c-menu-mobile__menu-item { border-bottom: 1px solid #505a6b; border-bottom: var(--p72-border-width) solid var(--p72-color-border); display: flex; flex-flow: column nowrap; gap: 0.25rem; gap: var(--p72-space-xxs); overflow: hidden; width: 100%; } /* ========================================================= Mobile Menu Link / Button ========================================================= */ .c-menu-mobile__link { align-items: center; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; font: 700 1.25rem/1.1 Aptos, sans-serif; font: var(--p72-typography-heading-xs); gap: 0.25rem; gap: var(--p72-space-xxs); justify-content: space-between; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); padding: 0.75rem 0; padding: var(--p72-space-sm) 0; text-transform: uppercase; transition: color 0.4s cubic-bezier(0.65, 0, 0.35, 1); transition: color var(--p72-animation-duration) var(--p72-animation-timing); width: 100%; text-align: left; } @media (max-width: 768px) { .c-menu-mobile__link { font-size: 1.0625rem; } } .c-menu-mobile__link:focus, .c-menu-mobile__link:hover { color: #b08725; color: var(--p72-color-content-stronger); } .c-menu-mobile__link svg { height: var(--p72-icon-size-sm); min-width: var(--p72-icon-size-sm); width: var(--p72-icon-size-sm); } /* ========================================================= Mobile Sub Menu ========================================================= */ .c-menu-mobile--sub-menu { display: none; } .c-menu-mobile--sub-menu ul { display: flex; flex-direction: column; gap: 0.25rem; gap: var(--p72-space-xxs); margin-bottom: 0.75rem; margin-bottom: var(--p72-space-sm); list-style: none; padding: 0; } .c-menu-mobile--sub-menu a { color: #f5f4ee; color: var(--p72-color-content); text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; const cookieConsentScroll = { _raf: null, _scrollBound: false, _onScroll: null, isDismissed() { try { return sessionStorage.getItem(COOKIE_NOTICE_KEY) === "1"; } catch (error) { return false; } }, setDismissed() { try { sessionStorage.setItem(COOKIE_NOTICE_KEY, "1"); } catch (error) {} }, showBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-hidden"); banner.classList.add("is-visible"); this.updateHeightVar(); this.bindScroll(); } }, hideBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-visible"); banner.classList.add("is-hidden"); this.unbindScroll(); this.updateHeightVar(); } }, updateHeightVar() { const banner = document.querySelector(".js-cookie-consent"); let height = 0; if (banner && !banner.classList.contains("is-hidden")) { const rect = banner.getBoundingClientRect(); height = Math.min( Math.max(rect.bottom, 0), banner.offsetHeight ); } document.documentElement.style.setProperty( "--p72-cookie-consent-height", `${height}px` ); }, onScroll() { if (!this._raf) { this._raf = window.requestAnimationFrame(() => { this._raf = null; this.updateHeightVar(); }); } }, bindScroll() { if (!this._scrollBound) { this._scrollBound = true; this._onScroll = this.onScroll.bind(this); window.addEventListener("scroll", this._onScroll, { passive: true, }); window.addEventListener("resize", this._onScroll, { passive: true, }); } }, unbindScroll() { if (this._scrollBound) { this._scrollBound = false; window.removeEventListener("scroll", this._onScroll); window.removeEventListener("resize", this._onScroll); } }, observeHeight() { const banner = document.querySelector(".js-cookie-consent"); if (!banner || typeof ResizeObserver === "undefined") return; new ResizeObserver(() => this.updateHeightVar()).observe(banner); }, handleClose() { this.setDismissed(); this.hideBanner(); }, init() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { if (this.isDismissed()) { this.updateHeightVar(); } else { this.showBanner(); } this.observeHeight(); } else { document.documentElement.style.setProperty( "--p72-cookie-consent-height", "0px" ); } }, }; /* ========================================================================== Smooth anchor scrolling with header offset ========================================================================== */ function getAnchorTarget(hash) { if (!hash || hash === "#") return null; const id = hash.startsWith("#") ? hash.substring(1) : hash; let target = document.getElementById(id); if (!target) { try { target = document.querySelector(hash); } catch (error) { return null; } } return target; } function scrollToElementWithHeaderOffset(element) { const headerHeight = parseInt( getComputedStyle(document.documentElement) .getPropertyValue("--p72-header-height") ) || 0; const top = element.getBoundingClientRect().top + window.pageYOffset - headerHeight; window.scrollTo({ top, behavior: "smooth", }); } function initSmoothAnchorScrolling() { document.addEventListener("click", function (event) { const link = event.target.closest( 'a[href^="#"]:not([href="#"])' ); if (!link) return; const href = link.getAttribute("href"); const target = getAnchorTarget(href); if (target) { event.preventDefault(); scrollToElementWithHeaderOffset(target); if (history.pushState) { history.pushState(null, null, href); } } }); if (window.location.hash) { setTimeout(() => { const target = getAnchorTarget(window.location.hash); if (target) { scrollToElementWithHeaderOffset(target); } }, 100); } } /* ========================================================================== GSAP ScrollTrigger animations ========================================================================== */ function initGsapScrollAnimations() { if (typeof gsap === "undefined" || typeof ScrollTrigger === "undefined") { console.warn("GSAP or ScrollTrigger is not available."); return; } gsap.registerPlugin(ScrollTrigger); document.querySelectorAll(".js-gsap-trigger").forEach((trigger) => { /** * Fade in on scroll */ const fadeItems = trigger.querySelectorAll(".js-gsap-fade-in"); if (fadeItems.length > 0) { fadeItems.forEach((item, index) => { gsap.to(item, { opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Scale in on scroll */ const scaleItems = trigger.querySelectorAll(".js-gsap-scale-in"); if (scaleItems.length > 0) { scaleItems.forEach((item, index) => { gsap.to(item, { scale: 1, opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, transformOrigin: "center center", }); }); } /** * Slide up on scroll */ const slideUpItems = trigger.querySelectorAll(".js-gsap-slide-in-up"); if (slideUpItems.length > 0) { slideUpItems.forEach((item, index) => { gsap.to(item, { opacity: 1, y: 0, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Card entrance animation * * Note: * In the original bundle this is inside `.js-gsap-trigger`, * but it is not actually tied to ScrollTrigger. It runs immediately. */ const cards = trigger.querySelectorAll(".js-card-animate"); if (cards.length > 0) { console.log("Found cards to animate:", cards.length); gsap.set(cards, { opacity: 0, y: 12, filter: "blur(0.5px)", clearProps: "none", }); gsap.to(cards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.3, ease: "power2.out", stagger: 0.03, delay: 0.05, }); } }); /** * Generic scroll class trigger */ gsap.utils.toArray(".u-scroll-animation").forEach((element) => { ScrollTrigger.create({ trigger: element, start: "top 90%", onEnter: () => { element.classList.add("u-scroll-animate"); }, }); }); } /* ========================================================================== Load-more card animation ========================================================================== */ function initLoadMoreScrollRelatedAnimation() { if (typeof jQuery === "undefined") { console.warn("jQuery is not available."); return; } if (typeof gsap === "undefined") { console.warn("GSAP is not available."); return; } const $ = jQuery; $(".js-button-load-more").on("click", () => { const hiddenItems = $(".js-filter-item.u-display--none").not(".ft-hidden"); const itemsToShow = hiddenItems.slice(0, 8); if (itemsToShow.length > 0) { const animatedCards = itemsToShow.find(".js-card-animate").get(); if (animatedCards.length > 0) { gsap.set(animatedCards, { opacity: 0, y: 12, filter: "blur(0.5px)", }); } itemsToShow.removeClass("u-display--none"); const filterContainer = $(".js-filter-container"); try { if (filterContainer.data("isotope")) { filterContainer.isotope("layout"); } } catch (error) {} if (animatedCards.length > 0) { gsap.to(animatedCards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.4, ease: "power2.out", stagger: 0.04, }); } $(".js-button-load-more") .blur() .removeClass("active focus"); if (hiddenItems.length <= 8) { $(".js-button-load-more").hide(); } } }); } /* ========================================================================== Optional: Swiper timeline with horizontal scroll/drag behavior ========================================================================== */ /** * The bundle initializes a horizontal Swiper timeline. * * Requires Swiper and Navigation module. * * In the original minified code: * - fl = Swiper * - ml = Navigation module */ function initTimelineSwiper() { if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); new Swiper(".js-timeline", { slidesPerView: 1, spaceBetween: "-10%", breakpoints: { 640: { slidesPerView: 2, }, 768: { slidesPerView: 3, }, 1024: { slidesPerView: 4, }, 1200: { slidesPerView: 5, }, }, direction: "horizontal", freeMode: true, navigation: { nextEl: ".swiper-button-next", prevEl: ".swiper-button-prev", }, }); } /* ========================================================================== Optional: Posts slider horizontal drag/scroll behavior ========================================================================== */ class PostsSlider { constructor() { this.sliders = document.querySelectorAll(".js-posts-slider"); this.swiperInstances = []; this.init(); } init() { if (!this.sliders.length) return; if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); this.sliders.forEach((slider) => { const container = slider.querySelector(".js-posts-slider-container"); if (!container) return; const prevButton = slider.querySelector(".js-posts-slider-prev"); const nextButton = slider.querySelector(".js-posts-slider-next"); const swiper = new Swiper(container, { slidesPerView: "auto", spaceBetween: 0, grabCursor: true, watchSlidesProgress: true, wrapperClass: "js-posts-slider-wrapper", slideClass: "js-posts-slider-card", navigation: { nextEl: nextButton, prevEl: prevButton, }, on: { init: function () { if (prevButton) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } }, slideChange: function () { if (prevButton) { if (this.isBeginning) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } else { prevButton.classList.remove("swiper-button-disabled"); prevButton.removeAttribute("disabled"); } } if (nextButton) { if (this.isEnd) { nextButton.classList.add("swiper-button-disabled"); nextButton.setAttribute("disabled", "disabled"); } else { nextButton.classList.remove("swiper-button-disabled"); nextButton.removeAttribute("disabled"); } } }, }, }); this.swiperInstances.push(swiper); }); } } /* ========================================================================== Main initializer ========================================================================== */ function initExtractedScrollFunctionality() { cookieConsentScroll.init(); initSmoothAnchorScrolling(); initGsapScrollAnimations(); initLoadMoreScrollRelatedAnimation(); initTimelineSwiper(); new PostsSlider(); } /* ========================================================================== DOM ready ========================================================================== */ document.addEventListener("DOMContentLoaded", () => { initExtractedScrollFunctionality(); }); Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. 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=u)&&Object.keys(t.O).every(function(r){return t.O[r](e[a])})?e.splice(a--,1):(f=!1,u0&&r[s-1][2]>u;s--)r[s]=r[s-1];r[s]=[e,o,u]},t.n=function(r){var n=r&&r.__esModule?function(){return r.default}:function(){return r};return t.d(n,{a:n}),n},t.d=function(r,n){for(var e in n)t.o(n,e)&&!t.o(r,e)&&Object.defineProperty(r,e,{enumerable:!0,get:n[e]})},t.o=function(r,n){return Object.prototype.hasOwnProperty.call(r,n)},function(){var r={666:0};t.O.j=function(n){return 0===r[n]};var n=function(n,e){var o,u,i=e[0],f=e[1],a=e[2],c=0;if(i.some(function(n){return 0!==r[n]})){for(o in f)t.o(f,o)&&(t.m[o]=f[o]);if(a)var s=a(t)}for(n&&n(e);c
Machine Learning Infrastructure Engineer, Technology
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Experience
Experienced Professionals
Location
New York
Focus
Software & System Engineering
Business
Point72
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
- Design and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact
- Design and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows
- Collaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency
- Develop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)
- Implement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend
- Evaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput
- Drive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures
- Troubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability
- Document architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure
What’s required
- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
- 3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems
- Deep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure
- Hands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform
- Strong understanding of reinforcement learning concepts and their infrastructure implications
- Proficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust
- Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks
- Experience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments
- Excellent collaboration and communication skills with a systems-thinking mindset
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBT+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $185,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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A Career with Point72’s Technology Team
\nAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
\n- Design and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact
- Design and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows
- Collaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency
- Develop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)
- Implement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend
- Evaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput
- Drive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures
- Troubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability
- Document architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure
What’s required
\n- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
- 3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems
- Deep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure
- Hands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform
- Strong understanding of reinforcement learning concepts and their infrastructure implications
- Proficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust
- Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks
- Experience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments
- Excellent collaboration and communication skills with a systems-thinking mindset
- Commitment to the highest ethical standards
We take care of our people
\nWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:
\n- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBT+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
\nPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $185,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. 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Machine Learning Infrastructure Engineer, Technology
at Point72
Back to all Data Science / AI / ML jobs
Industry not specified
Machine Learning Infrastructure Engineer, Technology
at Point72
Mid LevelNo visa sponsorshipData Science/AI/ML
Posted 9 hours ago
No clicks
- Compensation
- $185,000 – $300,000 USD
- City
- Country
- United States
Currency: $ (USD)
**Machine Learning Infrastructure Engineer (Senior) sought for tech role. Build, manage ML infrastructure, ensuring resiliency & scalability. Required: 5+ years ML exp., proficient in Python, AWS, TensorFlow, experience with caching strategies, strong troubleshooting skills. Join innovative team focused on real-time machine learning.**
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Machine Learning Infrastructure Engineer, Technology Career
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// Mixpanel ignore tracking for known IPs var excludeIPS = '[65.213.72.30, 185.142.16.9, 203.176.115.9, 208.68.197.6, 208.68.197.9, 208.68.199.6, 208.68.199.9, 208.85.160.9, 208.85.161.9]'; $.getJSON('//api.ipify.org?format=json', function(data) { try{ if(true && excludeIPS.indexOf(data.ip) > -1){ console.log('Mixpanel ignore events set: NO events tracked.'); mixpanel.register({"$ignore":true}); }else{ mixpanel.unregister("$ignore"); mixpanel.track("View Page", { "Page Name": document.querySelector('.dotted-underline') ? document.querySelector('.dotted-underline').innerText : location.href, "Careers Site": true }); mixpanel.people.set_once({ 'First Career Page Visit' : new Date().toISOString() }); mixpanel.people.set({ 'Last Career Page Visit' : new Date().toISOString() }); // Only for Careers Site mixpanel.people.increment("# of Career Page Visits"); (function(){ var links = document.querySelectorAll('a'); [].forEach.call(links, function(link) { link.addEventListener("click", function (e) { mixpanel.track("Click Link", { "Link Name": link.text, "Link Location": link.getAttribute('link-location') == null ? 'Body' : link.getAttribute('link-location'), "Link Type": link.getAttribute('link-type') == null ? '' : link.getAttribute('link-type'), "Link Destination URL" : link.href }); }); }); })(); } }catch(e){} }); jQuery(document).ready(function(){ var str = navigator.userAgent; if (str.toLowerCase().indexOf("firefox") >= 0) { jQuery('body').addClass("gecko"); } }); {"employmentType":"FULL_TIME","identifier":{"name":"Point72 Asset Management, L.P.","@type":"PropertyValue"},"jobLocation":[{"address":{"addressCountry":"US","addressRegion":"New York","addressLocality":"New York","@type":"PostalAddress"},"@type":"Place"}],"hiringOrganization":{"sameAs":"https://www.point72.com/","name":"Point72","@type":"Organization"},"datePosted":"2026-08-29","description":"
","title":"Machine Learning Infrastructure Engineer, Technology","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-07\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo00001xQG8vIAG\"},\"Id\":\"a03Vo00001xQG8vIAG\",\"Name\":\"Machine Learning Infrastructure Engineer, Technology\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000XyPLsIAN\",\"Job_Code__c\":\"PIT-0015159\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgAOAAZ\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Software & System Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology Team\u003C/h3\u003E\\n\u003Cp\u003EAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. 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When you work here, we provide:\u003C/p\u003E\\n\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ENon-profit matching gift program\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, minorities and the LGBT+ community\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. 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display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; const cookieConsentScroll = { _raf: null, _scrollBound: false, _onScroll: null, isDismissed() { try { return sessionStorage.getItem(COOKIE_NOTICE_KEY) === "1"; } catch (error) { return false; } }, setDismissed() { try { sessionStorage.setItem(COOKIE_NOTICE_KEY, "1"); } catch (error) {} }, showBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-hidden"); banner.classList.add("is-visible"); this.updateHeightVar(); this.bindScroll(); } }, hideBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-visible"); banner.classList.add("is-hidden"); this.unbindScroll(); this.updateHeightVar(); } }, updateHeightVar() { const banner = document.querySelector(".js-cookie-consent"); let height = 0; if (banner && !banner.classList.contains("is-hidden")) { const rect = banner.getBoundingClientRect(); height = Math.min( Math.max(rect.bottom, 0), banner.offsetHeight ); } document.documentElement.style.setProperty( "--p72-cookie-consent-height", `${height}px` ); }, onScroll() { if (!this._raf) { this._raf = window.requestAnimationFrame(() => { this._raf = null; this.updateHeightVar(); }); } }, bindScroll() { if (!this._scrollBound) { this._scrollBound = true; this._onScroll = this.onScroll.bind(this); window.addEventListener("scroll", this._onScroll, { passive: true, }); window.addEventListener("resize", this._onScroll, { passive: true, }); } }, unbindScroll() { if (this._scrollBound) { this._scrollBound = false; window.removeEventListener("scroll", this._onScroll); window.removeEventListener("resize", this._onScroll); } }, observeHeight() { const banner = document.querySelector(".js-cookie-consent"); if (!banner || typeof ResizeObserver === "undefined") return; new ResizeObserver(() => this.updateHeightVar()).observe(banner); }, handleClose() { this.setDismissed(); this.hideBanner(); }, init() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { if (this.isDismissed()) { this.updateHeightVar(); } else { this.showBanner(); } this.observeHeight(); } else { document.documentElement.style.setProperty( "--p72-cookie-consent-height", "0px" ); } }, }; /* ========================================================================== Smooth anchor scrolling with header offset ========================================================================== */ function getAnchorTarget(hash) { if (!hash || hash === "#") return null; const id = hash.startsWith("#") ? hash.substring(1) : hash; let target = document.getElementById(id); if (!target) { try { target = document.querySelector(hash); } catch (error) { return null; } } return target; } function scrollToElementWithHeaderOffset(element) { const headerHeight = parseInt( getComputedStyle(document.documentElement) .getPropertyValue("--p72-header-height") ) || 0; const top = element.getBoundingClientRect().top + window.pageYOffset - headerHeight; window.scrollTo({ top, behavior: "smooth", }); } function initSmoothAnchorScrolling() { document.addEventListener("click", function (event) { const link = event.target.closest( 'a[href^="#"]:not([href="#"])' ); if (!link) return; const href = link.getAttribute("href"); const target = getAnchorTarget(href); if (target) { event.preventDefault(); scrollToElementWithHeaderOffset(target); if (history.pushState) { history.pushState(null, null, href); } } }); if (window.location.hash) { setTimeout(() => { const target = getAnchorTarget(window.location.hash); if (target) { scrollToElementWithHeaderOffset(target); } }, 100); } } /* ========================================================================== GSAP ScrollTrigger animations ========================================================================== */ function initGsapScrollAnimations() { if (typeof gsap === "undefined" || typeof ScrollTrigger === "undefined") { console.warn("GSAP or ScrollTrigger is not available."); return; } gsap.registerPlugin(ScrollTrigger); document.querySelectorAll(".js-gsap-trigger").forEach((trigger) => { /** * Fade in on scroll */ const fadeItems = trigger.querySelectorAll(".js-gsap-fade-in"); if (fadeItems.length > 0) { fadeItems.forEach((item, index) => { gsap.to(item, { opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Scale in on scroll */ const scaleItems = trigger.querySelectorAll(".js-gsap-scale-in"); if (scaleItems.length > 0) { scaleItems.forEach((item, index) => { gsap.to(item, { scale: 1, opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, transformOrigin: "center center", }); }); } /** * Slide up on scroll */ const slideUpItems = trigger.querySelectorAll(".js-gsap-slide-in-up"); if (slideUpItems.length > 0) { slideUpItems.forEach((item, index) => { gsap.to(item, { opacity: 1, y: 0, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Card entrance animation * * Note: * In the original bundle this is inside `.js-gsap-trigger`, * but it is not actually tied to ScrollTrigger. It runs immediately. */ const cards = trigger.querySelectorAll(".js-card-animate"); if (cards.length > 0) { console.log("Found cards to animate:", cards.length); gsap.set(cards, { opacity: 0, y: 12, filter: "blur(0.5px)", clearProps: "none", }); gsap.to(cards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.3, ease: "power2.out", stagger: 0.03, delay: 0.05, }); } }); /** * Generic scroll class trigger */ gsap.utils.toArray(".u-scroll-animation").forEach((element) => { ScrollTrigger.create({ trigger: element, start: "top 90%", onEnter: () => { element.classList.add("u-scroll-animate"); }, }); }); } /* ========================================================================== Load-more card animation ========================================================================== */ function initLoadMoreScrollRelatedAnimation() { if (typeof jQuery === "undefined") { console.warn("jQuery is not available."); return; } if (typeof gsap === "undefined") { console.warn("GSAP is not available."); return; } const $ = jQuery; $(".js-button-load-more").on("click", () => { const hiddenItems = $(".js-filter-item.u-display--none").not(".ft-hidden"); const itemsToShow = hiddenItems.slice(0, 8); if (itemsToShow.length > 0) { const animatedCards = itemsToShow.find(".js-card-animate").get(); if (animatedCards.length > 0) { gsap.set(animatedCards, { opacity: 0, y: 12, filter: "blur(0.5px)", }); } itemsToShow.removeClass("u-display--none"); const filterContainer = $(".js-filter-container"); try { if (filterContainer.data("isotope")) { filterContainer.isotope("layout"); } } catch (error) {} if (animatedCards.length > 0) { gsap.to(animatedCards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.4, ease: "power2.out", stagger: 0.04, }); } $(".js-button-load-more") .blur() .removeClass("active focus"); if (hiddenItems.length <= 8) { $(".js-button-load-more").hide(); } } }); } /* ========================================================================== Optional: Swiper timeline with horizontal scroll/drag behavior ========================================================================== */ /** * The bundle initializes a horizontal Swiper timeline. * * Requires Swiper and Navigation module. * * In the original minified code: * - fl = Swiper * - ml = Navigation module */ function initTimelineSwiper() { if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); new Swiper(".js-timeline", { slidesPerView: 1, spaceBetween: "-10%", breakpoints: { 640: { slidesPerView: 2, }, 768: { slidesPerView: 3, }, 1024: { slidesPerView: 4, }, 1200: { slidesPerView: 5, }, }, direction: "horizontal", freeMode: true, navigation: { nextEl: ".swiper-button-next", prevEl: ".swiper-button-prev", }, }); } /* ========================================================================== Optional: Posts slider horizontal drag/scroll behavior ========================================================================== */ class PostsSlider { constructor() { this.sliders = document.querySelectorAll(".js-posts-slider"); this.swiperInstances = []; this.init(); } init() { if (!this.sliders.length) return; if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); this.sliders.forEach((slider) => { const container = slider.querySelector(".js-posts-slider-container"); if (!container) return; const prevButton = slider.querySelector(".js-posts-slider-prev"); const nextButton = slider.querySelector(".js-posts-slider-next"); const swiper = new Swiper(container, { slidesPerView: "auto", spaceBetween: 0, grabCursor: true, watchSlidesProgress: true, wrapperClass: "js-posts-slider-wrapper", slideClass: "js-posts-slider-card", navigation: { nextEl: nextButton, prevEl: prevButton, }, on: { init: function () { if (prevButton) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } }, slideChange: function () { if (prevButton) { if (this.isBeginning) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } else { prevButton.classList.remove("swiper-button-disabled"); prevButton.removeAttribute("disabled"); } } if (nextButton) { if (this.isEnd) { nextButton.classList.add("swiper-button-disabled"); nextButton.setAttribute("disabled", "disabled"); } else { nextButton.classList.remove("swiper-button-disabled"); nextButton.removeAttribute("disabled"); } } }, }, }); this.swiperInstances.push(swiper); }); } } /* ========================================================================== Main initializer ========================================================================== */ function initExtractedScrollFunctionality() { cookieConsentScroll.init(); initSmoothAnchorScrolling(); initGsapScrollAnimations(); initLoadMoreScrollRelatedAnimation(); initTimelineSwiper(); new PostsSlider(); } /* ========================================================================== DOM ready ========================================================================== */ document.addEventListener("DOMContentLoaded", () => { initExtractedScrollFunctionality(); }); Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. 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Machine Learning Infrastructure Engineer, Technology
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Experience
Experienced Professionals
Location
New York
Focus
Software & System Engineering
Business
Point72
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
- Design and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact
- Design and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows
- Collaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency
- Develop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)
- Implement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend
- Evaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput
- Drive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures
- Troubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability
- Document architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure
What’s required
- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
- 3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems
- Deep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure
- Hands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform
- Strong understanding of reinforcement learning concepts and their infrastructure implications
- Proficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust
- Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks
- Experience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments
- Excellent collaboration and communication skills with a systems-thinking mindset
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBT+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $185,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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A Career with Point72’s Technology Team
\nAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
\n- Design and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact
- Design and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows
- Collaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency
- Develop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)
- Implement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend
- Evaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput
- Drive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures
- Troubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability
- Document architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure
What’s required
\n- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
- 3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems
- Deep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure
- Hands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform
- Strong understanding of reinforcement learning concepts and their infrastructure implications
- Proficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust
- Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks
- Experience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments
- Excellent collaboration and communication skills with a systems-thinking mindset
- Commitment to the highest ethical standards
We take care of our people
\nWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:
\n- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBT+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
\nPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $185,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
","title":"Machine Learning Infrastructure Engineer, Technology","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-07\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo00001xQG8vIAG\"},\"Id\":\"a03Vo00001xQG8vIAG\",\"Name\":\"Machine Learning Infrastructure Engineer, Technology\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000XyPLsIAN\",\"Job_Code__c\":\"PIT-0015159\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"001j000000VbgAOAAZ\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Software & System Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology Team\u003C/h3\u003E\\n\u003Cp\u003EAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003EAs a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. \u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDesign and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact\u003C/li\u003E\u003Cli\u003EDesign and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows\u003C/li\u003E\u003Cli\u003ECollaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency\u003C/li\u003E\u003Cli\u003EDevelop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC)\u003C/li\u003E\u003Cli\u003EImplement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend\u003C/li\u003E\u003Cli\u003EEvaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput\u003C/li\u003E\u003Cli\u003EDrive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures\u003C/li\u003E\u003Cli\u003ETroubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability\u003C/li\u003E\u003Cli\u003EDocument architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelor\'s or master\'s degree in computer science, electrical engineering, or a related technical field\u003C/li\u003E\u003Cli\u003E3–7 years of experience building and maintaining scalable compute or machine learning infrastructure systems\u003C/li\u003E\u003Cli\u003EDeep understanding of distributed systems, container orchestration (Kubernetes), and public cloud platforms such as AWS, Google Cloud Platform, or Azure\u003C/li\u003E\u003Cli\u003EHands-on experience with machine learning operations and infrastructure tools such as MLflow, Ray, Airflow, Kubeflow, and Terraform\u003C/li\u003E\u003Cli\u003EStrong understanding of reinforcement learning concepts and their infrastructure implications\u003C/li\u003E\u003Cli\u003EProficiency in Python and systems-level programming in one or more languages such as Go, C++, or Rust\u003C/li\u003E\u003Cli\u003EStrong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks\u003C/li\u003E\u003Cli\u003EExperience implementing monitoring, observability, and cost-optimization for GPU/accelerator-based compute environments\u003C/li\u003E\u003Cli\u003EExcellent collaboration and communication skills with a systems-thinking mindset\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:\u003C/p\u003E\\n\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ENon-profit matching gift program\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, minorities and the LGBT+ community\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit \u003Ca href=\\\"https://www.Point72.com/working-here\\\\\\\" target=\\\"_blank\\\"\u003Ewww.Point72.com/working-here\u003C/a\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $185,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.\u003C/p\u003E\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"RecordTypeId\":\"0120a000000LTejAAG\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8472280002?gh_jid=8472280002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-08-07T00:22:05.000+0000\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v67.0/sobjects/Account/001j000000VbgAOAAZ\"},\"Business__c\":\"Point72\",\"Name\":\"Point72 Asset Management, L.P.\",\"Id\":\"001j000000VbgAOAAZ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v67.0/sobjects/RecordType/0120a000000LTejAAG\"},\"DeveloperName\":\"Information_Technology\",\"Name\":\"Information Technology\",\"Id\":\"0120a000000LTejAAG\"}},\"friendlyJobName\":\"machine-learning-infrastructure-engineer-technology\",\"formattedTeam\":\"Software & System Engineering\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Technology & Engineering\"}');
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