Senior Machine Learning Engineer - Core Automation

Position Overview

At Coinbase, our mission is to increase economic freedom in the world. As a Machine Learning Engineer on the Core Automation Team, you will help build trusted, scalable, and compliant AI infrastructures that enhance customer support and compliance operations. You’ll work with advanced machine learning techniques and diverse data sources (including blockchain data) to break down barriers to cryptocurrency adoption while collaborating with top talent in a high-caliber, in-person work environment.

Key Responsibilities

• Explore and apply advanced machine learning techniques including large language models (LLMs) and deep learning to solve complex challenges.
• Drive project execution by managing priorities, deadlines, and deliverables while leveraging your 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 the 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.

Required Qualifications

• 5+ years of experience in machine learning and software engineering.
• Proven expertise in designing, building, scaling, and maintaining production services with a 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 areas including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
• Ability to write high-quality, well-tested code that addresses customer needs.
• A passion for building an open financial system that connects the world.
• Exceptional written and verbal communication skills with a commitment to open, transparent cultural practices.

Preferred Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related field.
• Proficiency with GenAI frameworks 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.

Benefits & Perks

• Compensation: $186,065—$218,900 USD with bonus eligibility, equity eligibility, and benefits including medical, dental, vision, and 401(k).
• Team and company-wide offsites held multiple times annually to foster collaboration, connection, and alignment.
• A dynamic, high-performance in-person work environment with opportunities for professional growth.
• Commitment to equal opportunity and providing reasonable accommodations for individuals with disabilities.