Staff Machine Learning Engineer - AI/ML Risk Platform

Details

At Coinbase, our mission is to increase economic freedom in the world. The Risk AI/ML team builds the flexible, scalable, and intelligent systems required to detect and prevent fraud, scams, and account takeovers at scale. As a member of this team you will build and deploy sophisticated AI/ML models that power real-time, near-real-time, and scheduled risk-detection workflows, collaborating with Platform, Product, Analyst, and Ops teams to uncover new fraud patterns and continuously improve defensive capabilities.

Responsibilities

• Take full technical ownership of a core risk problem space (e.g., Scams or Account Takeover): design, build, and lead the strategy for all models in this domain.
• Architect and design systems for new, complex, cross-team risk detection models, including feature pipeline design, model selection (e.g., GNNs, LSTMs, LLMs) and high-performance serving.
• Drive the technical roadmap and be the primary technical voice translating ambiguous business needs into a clear technical plan.
• Mentor and lead other senior (IC5), mid-level, and junior engineers on the team.
• Apply advanced ML methodologies (deep learning, NLP, Graph Neural Networks, sequence modeling, LLMs) to solve complex, crypto-native challenges.
• Architect adaptive logic that decides which friction (quiz, LLM agent, human review) to apply to which user, balancing security and user experience.

Requirements

• 8–10+ years of professional experience in software engineering and/or AI/ML, with experience deploying AI/ML systems into production.
• Proven technical leadership experience, including leading small teams or pods and designing/deploying large-scale, cross-team ML systems from scratch.
• Deep expertise in applied AI/ML techniques (Risk ML, deep learning, NLP, recommender systems, anomaly detection).
• Required prior domain experience in Payment Risk, Credit Risk, or Identity Risk / Account Takeover / Scams.
• Expert-level coding skills (e.g., Python) and deep experience with AI/ML frameworks such as TensorFlow and PyTorch.
• Experience building backend systems with a focus on data processing or analytics is a plus.
• Strong collaboration and communication skills, able to convey technical concepts to both technical and non-technical audiences.

Nice to Haves

• Master’s / Ph.D. in Computer Science, AI/ML, Data Science, or related field.
• Familiarity with modern data and AI/ML infrastructure (Feature Stores like Tecton, Model Serving like RayServe, Apache Airflow, Spark, Kafka).
• Experience with Graph Neural Networks or sequential models (e.g., LSTMs).
• Experience with LLMs (NLP, fine-tuning, agentic systems) or Reinforcement Learning.
• Understanding of MLOps best practices, including monitoring and improving production models.
• Experience with data analysis and visualization tools.

Pay

• Pay Range: $217,900—$217,900 CAD (full-time offers also include bonus eligibility, equity eligibility, and benefits).

Benefits

• Extended Health Care (coordinates with Provincial Coverage), Dental Care, Vision Care
• Consult+ (Virtual Health Care), Life & Accident Insurance, Disability Coverage
• Employee Stock Purchase Plan (ESPP), Wellness Stipend, Mobile/Internet Reimbursement
• Connections Stipend, Learning and Development Allowance, Employee Assistance Program
• Travel Medical Policy, Fertility Benefits, Generous Time off/Leave Policy

Additional Notes

• While many roles at Coinbase are remote-first, in-person participation is required throughout the year (team and company-wide offsites). Attendance is expected and supported.
• Coinbase is an Equal Opportunity Employer and provides reasonable accommodations for applicants with disabilities.
• Job ID: GPML06US