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NLP Engineer

at Point72

Back to all Data Science / AI / ML jobs
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Industry not specified

NLP Engineer

at Point72

GraduateNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

No clicks

Compensation
$150,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

**NLP Engineer** designs and implements machine learning models for natural language understanding. Key responsibilities: Develop and optimize NLP workflows, create Grammatical models, and collaborate cross-functionally. Required experience: Proficient in Python, NLP libraries (NLTK, SpaCy), and machine learning frameworks (TensorFlow, PyTorch). Proven experience in Python (5+ years) and NLP projects.

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NLP Engineer Career
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P72 Careers - Header
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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); 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NLP Engineer

Apply Now
Experience

Early Career

Location

New York

Focus

Systematic Investing

Business

Point72

Role/Responsibilities:

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.

We believe the investment world offers unique opportunities to use modern NLP methods.

Responsibilities may include:

  • Exploring and combining rich internal and external textual datasets
  • Formulating research hypothesis to derive alpha
  • Building GenAI solutions, leveraging both internal models and external APIs

Requirements:

  • Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
  • Experience in NLP, particularly LLMs
  • Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
  • Data science stack familiarity
  • Interest in financial markets
  • Collaborative mindset
  • Commitment to the highest ethical standards 

About Point72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.


The annual base salary range for this role is $150,000-$250,000 (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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Role/Responsibilities:

\n

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.

We believe the investment world offers unique opportunities to use modern NLP methods.

Responsibilities may include:

  • Exploring and combining rich internal and external textual datasets
  • Formulating research hypothesis to derive alpha
  • Building GenAI solutions, leveraging both internal models and external APIs

Requirements:

\n
  • Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
  • Experience in NLP, particularly LLMs
  • Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
  • Data science stack familiarity
  • Interest in financial markets
  • Collaborative mindset
  • Commitment to the highest ethical standards

About Point72:

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.


The annual base salary range for this role is $150,000-$250,000 (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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NLP Engineer

at Point72

Back to all Data Science / AI / ML jobs
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NLP Engineer

at Point72

GraduateNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

No clicks

Compensation
$150,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

**NLP Engineer** designs and implements machine learning models for natural language understanding. Key responsibilities: Develop and optimize NLP workflows, create Grammatical models, and collaborate cross-functionally. Required experience: Proficient in Python, NLP libraries (NLTK, SpaCy), and machine learning frameworks (TensorFlow, PyTorch). Proven experience in Python (5+ years) and NLP projects.

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NLP Engineer Career
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P72 Careers - Header
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--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); 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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; 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NLP Engineer

Apply Now
Experience

Early Career

Location

New York

Focus

Systematic Investing

Business

Point72

Role/Responsibilities:

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.

We believe the investment world offers unique opportunities to use modern NLP methods.

Responsibilities may include:

  • Exploring and combining rich internal and external textual datasets
  • Formulating research hypothesis to derive alpha
  • Building GenAI solutions, leveraging both internal models and external APIs

Requirements:

  • Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
  • Experience in NLP, particularly LLMs
  • Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
  • Data science stack familiarity
  • Interest in financial markets
  • Collaborative mindset
  • Commitment to the highest ethical standards 

About Point72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.


The annual base salary range for this role is $150,000-$250,000 (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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Role/Responsibilities:

\n

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.

We believe the investment world offers unique opportunities to use modern NLP methods.

Responsibilities may include:

  • Exploring and combining rich internal and external textual datasets
  • Formulating research hypothesis to derive alpha
  • Building GenAI solutions, leveraging both internal models and external APIs

Requirements:

\n
  • Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
  • Experience in NLP, particularly LLMs
  • Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
  • Data science stack familiarity
  • Interest in financial markets
  • Collaborative mindset
  • Commitment to the highest ethical standards

About Point72:

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.


The annual base salary range for this role is $150,000-$250,000 (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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