Senior Machine Learning Platform Engineer

Who you are

• 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments
• 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

What the job involves

• As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase
• The platform you build supports fraud detection, user personalization, and blockchain analysis
• You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company
• 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