Senior Machine Learning Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design and implement the orchestration layer that oversees state transitions, context sharing, and intent routing within vendor and internal LLM frameworks in a distributed conversational setting.

• Develop production-quality Python services that connect cutting-edge ML/AI research with dependable, measurable customer-facing products.

• Oversee the complete project lifecycle for intricate ML initiatives, balancing priorities, technical trade-offs, and cross-functional dependencies from design to delivery.

• Set best practices for system architecture, coding standards, and AI/ML development processes across the team.

• Guide engineers on architectural integrity and contemporary AI/ML methodologies, elevating the technical standards for the wider team.

• Conduct design evaluations to ensure each feature aligns with Coinbase's criteria for security, scalability, and performance.

⛳️ Requirements

• 5+ years of professional experience in machine learning and software engineering, with a proven history of deploying production-grade ML services at scale.

• Practical experience in developing with contemporary AI architectures (LLMs, deep learning) and the generative AI landscape, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.

• Strong expertise in Python with a demonstrated capability to produce clean, maintainable, and thoroughly tested production code.

• Specialized knowledge in at least one area: NLP, information retrieval, computer vision, or advanced statistical modeling.

• Proven experience in drafting technical design documents and presenting ML system architectures to cross-functional stakeholders, simplifying complex technical concepts for non-technical audiences.

• Employs generative AI responsibly, ensuring human oversight to deliver business-ready outputs and enhance measurable improvements in workflow efficiency, cost, and quality.

• Exhibits the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily tasks, continuously adapting as tools progress, and applying human-in-the-loop practices to produce business-ready outputs and achieve measurable enhancements in efficiency, cost, and quality.

🏝️ Benefits

• Total compensation may include equity, bonus eligibility, and comprehensive benefits (including medical, dental, and vision).