Senior Machine Learning Platform Engineer
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Job Description
Senior ML Platform Engineer building Coinbase’s infrastructure for feature engineering, distributed training, and model serving. Supporting fraud detection, personalization, and blockchain analysis at scale.
Responsibilities:
- Build foundational infrastructure for feature engineering, model training, and model serving across Coinbase
- Own the design and reliability of ML inference infrastructure for predictive models and LLMs
- Maintain high availability and low latency at scale
- Build and optimize low-latency streaming pipelines delivering fresh, high-quality feature data to production ML models
- Improve distributed training infrastructure for efficient processing of large data volumes
- Develop observability tooling to monitor data quality and detect degradations affecting model performance
- Mentor junior engineers and raise team engineering standards
- Support fraud detection, user personalization, and blockchain analysis
Requirements:
- 5+ years of industry experience as a software engineer
- Demonstrated ownership of distributed systems in production environments
- Experience building and operating low-latency data or ML infrastructure, including streaming pipelines, online serving systems, or distributed training, at scale
- Track record of mentoring engineers and raising engineering quality through code reviews, design reviews, and technical leadership
- Familiarity with ML platform components, including feature stores, model serving frameworks, and training orchestration
- Responsible use of generative AI with human oversight to deliver business-ready outputs and measurable workflow improvements in efficiency, cost, and quality
Benefits:
- Equity eligibility
- Bonus eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Quarterly in-person working sessions (“surges”)
- Reasonable accommodations for individuals with disabilities
- Equal opportunity employment protections
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