ML Platform Engineer: Scalable Inference & Streaming Remote

Coinbase, Inc.; Nashville (TN); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is seeking a Senior Machine Learning Platform Engineer to build the core infrastructure for feature engineering, model training, and model serving across the company. You will own systems supporting fraud detection, user personalization, and blockchain analysis, helping ML scale at Coinbase.

You will design reliable inference, streaming pipelines, and distributed training, while mentoring engineers and improving observability.

Qualifications

• 5+ years of industry experience as a software engineer with ownership of distributed systems in production.
• 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 and design reviews.
• Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration) to partner with ML engineers.
• Uses generative AI responsibly with human oversight to drive measurable improvements in workflow efficiency, cost, and quality.

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 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 performance.
• Mentor junior engineers on building production-grade software and raise engineering standards.

Skills

Distributed systems

Low-latency infra

Mentoring engineers

ML platform familiarity

Generative AI governance

Job description

Coinbase is seeking a Senior Machine Learning Platform Engineer to build the core infrastructure for feature engineering, model training, and model serving across the company. You will own systems supporting fraud detection, user personalization, and blockchain analysis, helping ML scale at Coinbase.

You will design reliable inference, streaming pipelines, and distributed training, while mentoring engineers and improving observability.