Coinbase is hiring a senior-ish ML engineer to build and own fraud/scam/account takeover models that protect millions of users. This is not “research for vibes.” It’s production ML in a high-stakes environment, where the model you ship changes whether someone gets robbed or gets through checkout.
About Coinbase
Coinbase’s mission is to increase economic freedom through crypto. Culture is intense, performance-driven, and not for everyone. They’re remote-first, not remote-only, and expect you at multiple offsites per year.
Schedule
- Full-time, remote-first (not remote-only)
- In-person offsites required multiple times a year
- Base salary range: $186,065–$218,900 (plus bonus, equity, benefits)
- Job ID: GPML05US
- #LI-Remote
- Application cap: max 4 applications in any 30-day period
What You’ll Do
- Own a critical risk domain (Scams or Account Takeover) end-to-end
- Design/architect complex risk detection systems: feature pipelines → model choice (GNNs, LSTMs, LLMs) → high-performance serving
- Translate messy business needs into a clear technical roadmap (you’re the “how” person)
- Lead by example: code reviews, design docs, mentoring mid/junior engineers
- Apply advanced ML (deep learning, NLP, anomaly detection, recommender-style approaches) to crypto-native problems
- Build context-aware risk systems that decide the right “friction” (quiz vs LLM agent vs human review) balancing security and user experience
What You Need
- 6–8+ years in software engineering and/or AI/ML with production deployment experience
- Proven technical leadership designing and shipping large-scale ML systems from scratch
- Strong applied ML expertise (risk ML, deep learning, NLP, anomaly detection, etc.)
- Expert coding (Python) and experience with PyTorch/TensorFlow
- Strong communication to both technical and non-technical stakeholders
Nice to Have
- MS/PhD in CS/AI/DS or related
- Familiarity with ML infra: feature stores (Tecton), serving (RayServe), Airflow, Spark, Kafka
- GNNs, sequence models (LSTMs), LLMs (fine-tuning/agents), or RL
- Solid MLOps habits: monitoring, drift, iterative improvement
- Data analysis + visualization chops
Benefits
- Medical, dental, vision
- HSA with company contributions
- Disability + life insurance
- 401(k) with match
- Wellness stipend
- Mobile/internet reimbursement
- Connections stipend
- Volunteer time off
- Fertility benefits
- Generous time off/leave
- Option to get paid in digital currency (where available)
My blunt take: this role screams “credible ML operator” not “I took one Coursera and I’m dangerous.” If you don’t have real production ML deployment plus risk/fraud-ish instincts, Coinbase will sniff that out fast. But if you do? This is the kind of seat that upgrades your whole career.
Happy Hunting,
~Two Chicks…