Machine Learning Engineer
Builds production-grade machine learning services and orchestration for conversational AI, coordinating vendor and internal LLM systems. Requires at least two years of ML/software engineering experience, strong Python skills, and familiarity with modern AI architectures and tooling.
About the job
Responsibilities
- 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.
- Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products.
- Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams.
- Contribute to system design, coding standards, and AI/ML development best practices across the team.
- Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences.
- Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.
Requirements
- 2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.
- Hands-on experience building with modern AI architectures such as LLMs and deep learning.
- Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.
- Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.
- Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders.
- Experience using generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.
Nice-to-haves
- Familiarity with LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
Compensation and Benefits
- Annual base salary: ₹4,408,400–₹4,408,400 INR.
- Total compensation may include equity and bonus eligibility.
- Benefits include medical, dental, and vision coverage.
Skills
Python, Machine Learning, LLMs, Deep Learning, LangGraph, Langsmith, Google Adk, Vertex Ai, Aws Bedrock, NLP, Information Retrieval, Computer Vision, Statistical Modeling, Distributed Systems, Generative AI
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