Staff Machine Learning Engineer - AI/ML Risk Platform

Details

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

The AI Platform Team builds centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase. As a Machine Learning Engineer on the team, you will leverage cutting-edge AI models, frameworks, and diverse data sources — including blockchain data — to lower barriers to cryptocurrency adoption and shape the future of AI-powered interactions (recommendations, chatbots, intelligent features).

Job ID: GPML06US

Responsibilities

• Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks (GNNs).
• Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
• Drive project execution: manage priorities, deadlines, and deliverables.
• Develop high-quality, well-tested Python code to address critical product and business needs.
• Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
• Mentor team members on design principles, coding standards, and adoption of AI productivity tools.
• Troubleshoot and resolve complex technical issues to improve reliability, scalability, and operational efficiency.
• Ensure security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

Requirements

• 10+ years of experience in machine learning and software engineering.
• Proven expertise designing, building, scaling, and maintaining production services, with strong focus on data processing, machine learning, and analytics.
• Hands-on experience with at least one ML model type (LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees).
• Proficiency in one or more areas such as data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
• Ability to write high-quality, well-tested code addressing customer needs (Python emphasized).
• Experience mentoring and developing junior engineers and implementing processes to raise standards.
• Exceptional written and verbal communication skills and commitment to open, transparent cultural practices.
• Passion for building an open financial system that connects the world.

Nice to haves

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
• Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
• Familiarity with model interpretability and responsible AI practices.
• Expertise in data analysis and visualization.

Pay

Pay Range: $218,025—$256,500 USD (target annual salary). Full-time offers also include bonus eligibility, equity eligibility, and benefits (medical, dental, vision, 401(k), etc.).

Benefits

• Medical, Dental, and Vision plans with generous employee contributions
• 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 to receive payment in digital currency

Work policy

Many roles at Coinbase are remote-first but not remote-only. In-person participation is required throughout the year; team and company-wide offsites are held multiple times annually (attendance expected and supported).

Other information

• Commitment to Equal Opportunity and reasonable accommodations for applicants with disabilities (contact accommodations[at]coinbase.com).
• Global Data Privacy Notice for job candidates (GDPR/CCPA links provided).
• AI Disclosure: Coinbase is piloting AI tools for initial screening interviews and interview intelligence; these pilots are for testing and will not be used to make employment decisions.