If you’re the kind of ML engineer who can take messy, high-stakes operational problems and turn them into clean, production-grade systems, Coinbase is hiring at the “own the strategy and ship the platform” level. This role is about applying ML and GenAI to automate risk-heavy ops work like document review and risk assessment, at scale, with explainability and real-time protection baked in.
About Coinbase
Coinbase’s mission is to increase economic freedom in the world by building the onchain platform and helping shape the future global financial system. The culture is intense and built for people who like big, hard problems and constant growth. While many roles are remote-first, Coinbase is not remote-only and requires in-person participation at multiple offsites throughout the year.
Schedule
- Full-time, remote-first (not remote-only)
- In-person attendance expected for multiple team and company offsites annually
- Base salary range: $218,025–$256,500 (bonus + equity + benefits also included)
- Application limit: max 4 applications in any 30-day period
- Job ID: GPML06US
What You’ll Do
- Define technical strategy across a portfolio of ML and GenAI initiatives for Operations optimization
- Design and implement models that protect Coinbase user funds
- Fine-tune LLMs for automated document processing and risk assessment workflows
- Build real-time ML pipelines that detect and prevent risk before it hits production
- Translate domain expert knowledge into features, signals, and model designs
- Build explainable ML systems that can justify risk decisions and outputs
- Partner with platform teams to deploy models at scale with high availability and low latency
What You Need
- 8+ years of industry ML experience (or PhD + 5 years)
- Prior experience with Payment Risk, Credit Risk, or Account Takeover models
- MS in ML/CS or related technical field (PhD preferred)
- Strong developer skill set, including using auto-code generation techniques for scalable ML and distributed systems
- Strong grounding in modern ML: DNNs, transformers, LLMs, classification
- Proven experience building and deploying production ML systems at scale
- Ability to balance model complexity with real production constraints (latency, uptime, failure modes)
- Strong communication and collaboration skills with domain experts
Benefits
- Medical, dental, vision
- Health Savings Account with company contributions
- Disability and life insurance
- 401(k) with company match
- Wellness stipend
- Mobile/internet reimbursement
- Connections stipend
- Volunteer time off
- Generous time off/leave policy
- Option to be paid in digital currency (where available)
- Bonus + equity eligibility
Real talk: this is not a “train models and hand them off” job. This is end-to-end ownership, production reality, and being accountable for systems that protect money and trust.
Happy Hunting,
~Two Chicks…