Senior ML Platform Engineer: Low-Latency Inference

Coinbase, Inc.; Montgomery (AL); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is seeking a Senior Machine Learning Platform Engineer to own the ML inference infrastructure, from streaming data through model serving, supporting fraud detection and personalization. You will collaborate across distributed systems with a platform-first mindset and drive reliability at scale.

You will mentor engineers, contribute to feature stores and training orchestration, and help design highly available, low-latency systems that power production ML across the company.

Qualifications

• 5+ years of industry experience as a software engineer with ownership of distributed systems in production.
• Experience building and operating low-latency data/ML infrastructure (streams, online serving, distributed training).
• Proven track record mentoring engineers and improving engineering quality.

Responsibilities

• Own design and reliability of ML inference infrastructure with high availability and low latency.
• Build and optimize low-latency streaming pipelines for fresh feature data to production models.
• Improve distributed training infrastructure for scalable ML workloads.
• Develop observability tooling to monitor data quality and detect degradations in models.
• Mentor junior engineers to raise engineering standards.

Skills

Distributed systems

Low-latency ML infrastructure

Mentoring engineers

ML platform components

Generative AI governance

Job description

Coinbase is seeking a Senior Machine Learning Platform Engineer to own the ML inference infrastructure, from streaming data through model serving, supporting fraud detection and personalization. You will collaborate across distributed systems with a platform-first mindset and drive reliability at scale.

You will mentor engineers, contribute to feature stores and training orchestration, and help design highly available, low-latency systems that power production ML across the company.