Staff Machine Learning Engineer - Platform (Core Automation)

Coinbase is on a mission to increase economic freedom in the world, and they are seeking a Staff Machine Learning Engineer for their Core Automation Team. This role focuses on developing AI infrastructure and automation solutions to enhance productivity and improve customer experiences, utilizing advanced machine learning techniques and managing project execution.

Responsibilities:

• Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges 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, 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

Requirements:

• 8+ 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
• Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence
• 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
• 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