About the company
Coinbase is a remote-first company on a mission to increase economic freedom. Expect quarterly in-person working sessions called "surges."
Responsibilities
- Own the design and reliability of ML inference infrastructure serving predictive models and LLMs, maintaining high availability and low latency at scale
- Build and optimize low-latency streaming pipelines delivering fresh, high-quality feature data to production ML models
- Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently
- Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance
- Mentor junior engineers on building production-grade software, raising the team's engineering standards
Requirements
- 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production
- Built and operated low-latency data or ML infrastructure (streaming pipelines, online serving systems, or distributed training) at scale
- Track record of mentoring engineers and raising team engineering quality through code reviews, design reviews, and technical leadership
- Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration)
- Utilizes generative AI responsibly, maintaining human oversight
Conditions
- Annual base salary range: $191,250 — $225,000 USD (excluding equity and bonus)
- Total compensation may include equity and bonus eligibility
- Benefits: medical, dental, vision, 401(k)
- Application limit: maximum of 3 applications within a 6-month period