Senior ML Platform Engineer: Low-Latency Inference & Streaming

Coinbase, Inc.; Honolulu (HI); Remote; USD 191,000 - 225,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to own scalable inference and training infrastructure that powers fraud detection, personalization, and blockchain analytics. You will design low-latency streaming pipelines and distributed training systems while mentoring junior engineers.

This remote-first role emphasizes availability and observability, and you will collaborate with ML engineers across the company as a platform builder.

Qualifications

• 5+ years of industry experience as a software engineer with distributed systems in production.
• Built and operated low-latency ML infrastructure (streaming pipelines, online serving, or distributed training).
• Experience mentoring engineers and raising engineering quality through code reviews and design reviews.
• Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration).
• Responsible use of generative AI with human oversight for business-ready outputs.

Responsibilities

• Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs.
• Build and optimize low-latency streaming pipelines delivering fresh feature data to production models.
• Drive improvements to distributed training infrastructure for efficient large-scale processing.
• Develop observability tooling to monitor data quality and detect model degradations.
• Mentor junior engineers to raise team engineering standards.

Skills

Distributed systems ownership

Low-latency inference infrastructure

Streaming pipelines

Distributed training

Mentoring engineers

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to own scalable inference and training infrastructure that powers fraud detection, personalization, and blockchain analytics. You will design low-latency streaming pipelines and distributed training systems while mentoring junior engineers.

This remote-first role emphasizes availability and observability, and you will collaborate with ML engineers across the company as a platform builder.