Machine Learning Engineer

Company: Coinbase

Location: Remote - India

Salary: ₹4,408,400 INR (annual base)

Employment Type: Full-time

About the Company

Coinbase is on a mission to increase economic freedom. The company is remote-first but not remote-only, with quarterly in-person working sessions called "surges."

About the Role

The CX Intelligence team is part of Coinbase's Enterprise Applications and Architecture org and builds customer-facing and internal CX experiences that connect the Help Center, chatbots, and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling.

We are hiring an IC4 Machine Learning Engineer to help evolve the 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.

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, 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

Benefits

• Medical, dental, and vision coverage
• Equity and bonus eligibility
• Equal Opportunity Employer