# Senior Machine Learning Engineer

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Python, Machine Learning, LLMs, Deep Learning, Generative AI, LangGraph, Langsmith, Google Adk, Vertex Ai, Aws Bedrock, NLP, Information Retrieval, Computer Vision, Statistical Modeling, Distributed Systems
**Posted:** 2026-06-22

> Build and lead production-grade machine learning services for Coinbase’s conversational AI ecosystem, coordinating vendor and internal LLM systems through a scalable orchestration layer. The role requires 5+ years of ML and software engineering experience, strong Python skills, and expertise in modern generative AI architectures.

## Job Description

## Responsibilities
- Architect and deploy an orchestration layer managing state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
- Build production-grade Python services that bridge ML/AI research with reliable, measurable customer-facing products.
- Lead end-to-end execution of complex machine learning initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery.
- Establish best practices for system design, coding standards, and AI/ML development workflows.
- Mentor engineers on architectural integrity and modern AI/ML patterns.
- Conduct design reviews to ensure features meet standards for security, scalability, and performance.

## Requirements
- 5+ years of professional experience in machine learning and software engineering, including shipping production-grade ML services at scale.
- Hands-on expertise with modern AI architectures, including LLMs, deep learning, and the generative AI ecosystem.
- Experience with frameworks and platforms such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
- Deep proficiency in Python and the ability to write clean, maintainable, highly tested production code.
- Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.
- Ability to write technical design documents and present ML system architectures to cross-functional stakeholders.
- Ability to translate complex technical concepts for non-technical audiences.
- Responsible use of generative AI tools and copilots, including human-in-the-loop practices and human oversight.
- Familiarity with tools such as LibreChat, Gemini, or Glean.

## Compensation
- Annual base salary: ₹6,612,600–₹6,612,600 INR.
- Total compensation may also include equity, bonus eligibility, and medical, dental, and vision benefits.

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