Senior Machine Learning Engineer - Core Automation

Details

At Coinbase, our mission is to increase economic freedom in the world. The Core Automation Team builds AI infrastructure and automation solutions to improve productivity, foster innovation, and create meaningful customer impact across Coinbase. As a Machine Learning Engineer on this team you will work with state-of-the-art AI models, frameworks, and diverse data sources — including blockchain data — to streamline operations for customer support and compliance teams and shape the future of AI-powered customer interactions.

This role is remote-first but not remote-only: in-person participation is required throughout the year (team and company-wide offsites). Job ID: GPML05US.

Responsibilities

• Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
• Drive project execution by managing priorities, deadlines, and deliverables, leveraging technical expertise.
• 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 the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

Requirements

• 5+ 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, or analytics.
• Hands-on experience with at least one ML model type, such as LLMs, 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, or computer vision.
• Ability to write high-quality, well-tested code that effectively addresses customer needs.
• Strong written and verbal communication skills and commitment to open and transparent cultural practices.
• Passion for building an open financial system and belief in the power of crypto/blockchain technology.

Nice to haves

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a 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.

Compensation & Benefits

• Pay Range: $186,065—$218,900 USD (target annual salary; offers also include bonus eligibility, equity eligibility, and benefits such as medical, dental, vision, and 401(k)).
• Benefits: Medical, dental and vision plans; Health Savings Account with company contributions; disability and life insurance; 401(k) with company match; wellness stipend; mobile/internet reimbursement; connections stipend; volunteer time off; fertility counseling and benefits; generous time off/leave policy; option to get paid in digital currency.

Additional notes

• Answers to crypto-related questions may be used to evaluate onchain experience.
• Coinbase pilots AI tools for initial screening interviews and interview summarization for select roles; a human recruiter reviews interview responses. To request accommodations for the hiring process, contact accommodations[at]coinbase.com.
• Commitment to equal opportunity and data privacy notices provided in the original posting.