Used Tools & Technologies
GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 4
Machine Learning @ 4
Vertex AI @ 4
Hiring @ 4
AWS @ 4
NLP @ 4
LLM @ 4
Deep Learning @ 4
Generative AI @ 4
AI @ 4
Computer Vision @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency — it's a place to be pushed past your perceived limits. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”
The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform which powers Coinbase chat, Help Center and agent tooling surfaces, partnering closely with Conversation Design, CX, and other Engg teams to deliver secure, compliant, and scalable AI-powered support. Our work provides the trusted and accurate automated and agent-assisted experiences — helping customers get answers faster while enabling human agents to resolve cases more effectively.
We are hiring an IC5 Machine Learning Engineer to drive the evolution of our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will lead the design and implementation of a sophisticated unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is pivotal in managing complex state transitions, context sharing, and intent routing across a distributed environment. You’ll thrive here if you enjoy high ownership, architecting complex hand-off logic between disparate LLM frameworks, and building reliable AI-enabled products that are fast, measurable, and scalable.
Responsibilities
- Architect and deploy the orchestration layer that manages 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 advanced ML/AI research with reliable, measurable customer-facing products.
- Lead end-to-end project execution for complex ML 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 across the team.
- Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team.
- Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance.
Requirements
- 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.
- Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
- Deep proficiency in Python with demonstrated 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.
- Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Compensation
- Annual base salary range (excluding equity and bonus): ₹6,612,600 — ₹6,612,600 INR.
- Total compensation may also include equity and bonus eligibility.
Benefits
- Benefits mentioned may include medical, dental, and vision coverage.
Other information
- Remote-first role with quarterly in-person "surges."
- Coinbase is an Equal Opportunity Employer. Accommodation requests for candidates with disabilities are supported via the provided contact email. Coinbase pilots AI tools for initial screening and interview intelligence but will not use AI to make employment decisions.