The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), AI Platform, Core Automation, and Infrastructure.

The Core Automation Team is a highly driven and innovative group dedicated to developing AI infrastructure and automation solutions that enhance productivity, foster innovation, and create meaningful customer impact across Coinbase. Our mission is to streamline operations for customer support and compliance teams while delivering exceptional customer experiences. As a Machine Learning Engineer on our team, you will play a key role in this transformation, utilizing state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data. Your work will focus on breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions.

What you’ll be doing (ie. job duties):

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 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 across teams.

What we look for in you (ie. job requirements):

5+ years of experience in machine learning and software engineering.
Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/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.
Passion for building an open financial system that connects the world.
Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.

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.

Job ID: GPML05US

*Answers to crypto-related questions may be used to evaluate your onchain experience

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