Staff Machine Learning Engineer - Risk AI/ML

Details

At Coinbase, our mission is to increase economic freedom in the world. The Risk AI/ML team builds flexible, scalable, and intelligent systems 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 for real-time, near-real-time, and scheduled risk-detection workflows and collaborate closely with Platform, Product, Analyst, and Ops teams.

Responsibilities

• Lead the end-to-end design and deployment of production-grade AI/ML models and systems that scale to millions of users.
• Investigate and apply cutting-edge methodologies (e.g., large-scale deep learning, LLMs, GNNs, reinforcement learning) to address challenges including fraud detection, recommender systems, feed ranking, and risk assessment.
• Architect and build production ML pipelines that enable low-latency, high-reliability predictions and low-maintenance applied AI/ML solutions.
• Drive execution across ambiguous, cross-team initiatives; prioritize technical debt and ensure systems evolve with business growth.
• Provide technical guidance and mentorship, create onboarding codelabs, tools, and infrastructure to democratize AI/ML access across the organization.

Requirements

• 10+ years of professional experience in software engineering and/or AI/ML, including significant experience deploying AI/ML systems into production.
• Deep applied AI/ML expertise in one or more areas such as Risk ML, gradient boosting trees, large-scale deep learning, NLP/LLMs, computer vision, recommender systems, reinforcement learning, and GNNs.
• Strong coding skills (example: Python) and deep experience with AI/ML frameworks such as TensorFlow and PyTorch.
• Experience building backend systems at scale with a focus on data processing, AI/ML, or analytics.
• Demonstrated technical leadership and ability to lead complex, cross-team technical initiatives and deliver impactful AI/ML solutions at scale.
• Strong communication skills and the ability to influence technical direction across engineering, product, and leadership teams.
• Proven track record of mentoring senior engineers and raising the technical bar on engineering teams.

Nice to Haves

• Master’s or PhD in Computer Science, AI/ML, Data Mining, Statistics, or related technical field.
• Familiarity with modern data and AI/ML infrastructure (e.g., Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive).
• Experience with MLOps best practices including monitoring, retraining, and continuous improvement of production models.
• Experience with model interpretability and responsible AI.
• Experience with data analysis and visualization.
• Experience leveraging blockchain data as part of ML risk/fraud signals is relevant.

Pay Range

• $260,100 — $260,100 USD
• $262,650 — $309,000 USD

Full time offers from Coinbase also include bonus eligibility, equity eligibility, and benefits (including medical, dental, vision, and 401(k)).

Benefits

• Medical, Dental and Vision plans
• Health Savings Account with company contributions
• Disability and Life Insurance
• 401(k) plan with company match
• Wellness stipend, mobile/internet reimbursement, connections stipend
• Volunteer time off, fertility counseling and benefits
• Generous time off/leave policy
• Option of getting paid in digital currency

Additional Notes

• Many roles at Coinbase are remote-first but not remote-only; in-person participation and attendance at team/company offsites throughout the year are expected and supported.
• Coinbase is an Equal Opportunity Employer and provides reasonable accommodations for applicants with disabilities.
• Job ID: GPML07US