Machine Learning Engineer

Remote $120k–$200k 2 months ago full-time quality 8.2/10

machine learningpythonAIdeep learningNLP

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.

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, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
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.
Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.

Competitive salary ranging from $120K to $200K.
Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Remote-first work environment with quarterly in-person working sessions.

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