Senior ML Platform Engineer — Remote-First ML Infra

Coinbase, Inc.; Lansing (MI); Remote; USD 191,000 - 225,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer on the ML Platform team to build core infrastructure powering feature engineering, model training, and model serving across the company.

You’ll own systems for ML inference, streaming data pipelines, and distributed training, enabling scalable ML, fraud detection, and personalization. Expect high-velocity, production-grade software with strong engineering standards.

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, design reviews, and leadership.
• Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration) to partner with ML engineers as a platform builder.

Responsibilities

• 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 to enable ML engineers to process large data volumes efficiently.
• Develop observability tooling to monitor data quality entering models and detect degradations affecting model performance.
• Mentor junior engineers on building production-grade software, raising the team's engineering standards over time.

Skills

Distributed systems

Low-latency infra

Mentoring engineers

ML platform knowledge

Generative AI governance

Tools

Feature stores

Model serving frameworks

Training orchestration

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer on the ML Platform team to build core infrastructure powering feature engineering, model training, and model serving across the company.

You’ll own systems for ML inference, streaming data pipelines, and distributed training, enabling scalable ML, fraud detection, and personalization. Expect high-velocity, production-grade software with strong engineering standards.