The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
What you'll do
Own the design and reliability of ML inference infrastructure serving both: predictive models and LLMs, maintaining high availability and low latency at scale.
Build and optimize low-latency streaming pipelines that deliver 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 over time.
+ years of industry experience as a software engineer, with demonstrated: ownership of distributed systems in production environments.
What they're looking for
- Built and operated low-latency data or ML infrastructure (streaming: pipelines, online serving systems, or distributed training) processing data 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) sufficient to partner effectively with ML engineers as a platform builder.
- Utilizes generative AI responsibly, maintaining human oversight to deliver: business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
