Machine Learning Engineer
at Coinbase Global
Posted 21 hours ago
No clicks
- Compensation
- INR 4,408,400 – INR 4,408,400 INR
- City
- Country
- India
Currency: INR
**Machine Learning Engineer (IC4) for CX Intelligence Team** At Coinbase, we greatly impact the future of finance. Join our CX Intelligence team, leveraging AI to enhance customer support. As a Machine Learning Engineer, you'll design, develop, and deploy machine learning models to empower agents and improve customer experiences. Key responsibilities include: - Collaborating with cross-functional teams to integrate AI into help centers, chatbots, and agent tools - Building and optimizing secure, compliant, and scalable machine learning models - Partnering with data engineers to ensure data quality and availability Required skills and experience: - Proven expertise in machine learning, with proficiency in Python and a solid understanding of ML frameworks (e.g., TensorFlow, PyTorch) - Strong background in data analysis, with experience using tools such as pandas, NumPy, and Matplotlib - Familiarity with cloud environments (AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes) - Knowledge of Agile methodologies and experience with CI/CD pipelines - Applied experience in NLP, conversational AI, or a related field is a plus Candidates should have 7+ years of experience in machine learning, with a strong focus on production environments. This role is ideal for IC4-level candidates, looking to apply their skills at scale and drive impact. Individuals who thrive in a dynamic, challenging environment and enjoy pushing boundaries will excel in this position. Apply today and build the future of finance alongside us.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively.
We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable.
What you'll do:
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Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
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Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products.
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Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams.
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Contribute to system design, coding standards, and AI/ML development best practices across the team.
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Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences.
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Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.
Required Skills and Experience:
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2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.
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Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
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Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.
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Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.
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Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders.
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Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
