To increase economic freedom in the world by building the emerging onchain platform and the future global financial system at Coinbase
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
- Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks
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
Other
- 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
- Commitment to Equal Opportunity and diversity
- Ability to work in a remote-first environment with in-person participation required throughout the year
