# Machine Learning Engineer

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 2+ years
**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
**Posted:** 2026-07-30

> 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.

## Job Description

## 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.

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