Senior Machine Learning Engineer - AI Platform

Details

At Coinbase, our mission is to increase economic freedom in the world. 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 AI Platform team you will help lower barriers to cryptocurrency adoption by embedding AI-powered features (recommendations, chatbots, etc.), working with diverse data sources including blockchain data, and shipping scalable, secure systems.

Many roles at Coinbase are remote-first but not remote-only; in-person participation is required throughout the year (team and company offsites are held multiple times annually). #LI-Remote

Responsibilities

• Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve challenging problems across the organization.
• Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
• Drive project execution by managing 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 system reliability, scalability, and operational efficiency.
• Ensure security, scalability, and architectural integrity of feature designs through reviews across teams.

Requirements

• 10+ years of experience in machine learning and software engineering.
• Proven expertise designing, building, scaling, and maintaining production services with a strong focus on data processing, machine learning, and analytics.
• Hands-on experience with at least one ML model type such as LLMs, graph neural networks (GNNs), deep learning, logistic regression, or gradient boosting trees.
• Proficiency in one or more areas including data mining, information retrieval, advanced statistics, natural language processing (NLP), or computer vision.
• Ability to write high-quality, well-tested code (Python emphasized).
• Experience mentoring and developing junior engineers and implementing processes to raise engineering standards.
• Passion for building an open financial system and strong written/verbal communication skills.

Nice to haves

• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
• Familiarity with GenAI frameworks/tools and data engineering 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.

Benefits

• Medical, dental, and vision plans with generous employee contributions.
• Health Savings Account with company contributions each pay period.
• Disability and life insurance.
• 401(k) plan with company match.
• Wellness stipend, mobile/internet reimbursement, connections stipend, and volunteer time off.
• Fertility counseling and benefits; generous time off/leave policy.
• Option of getting paid in digital currency.

Job ID: GPML05US

Pay Range (target annual salary): $186,065 — $218,900 USD. Full-time offers also include target bonus + target equity + benefits (medical, dental, vision and 401(k)).