Remote-First Senior ML Platform Engineer: Inference

Coinbase, Inc.; Phoenix (AZ); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is seeking a Senior Machine Learning Platform Engineer to build and scale ML infrastructure across feature engineering, model training, and model serving. You will impact fraud detection, personalization, and blockchain analysis with scalable, reliable systems.

You will own ML inference infrastructure, streaming data pipelines, and distributed training while mentoring others to raise engineering standards and collaborate with ML engineers as a platform builder.

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).
• Mentored engineers and raised engineering quality through code/design reviews and leadership.
• Familiar with ML platform components (feature stores, model serving frameworks, training orchestration).
• Uses generative AI responsibly with human oversight to deliver business-ready outputs and drive improvements.

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 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 affecting performance.
• Mentor junior engineers to raise the team's production-grade software quality.

Skills

Distributed systems

Mentoring

High availability

Low-latency infra

ML platform knowledge

Tools

Streaming pipelines

Model serving

Training orchestration

Observability tooling

LLMs awareness

Job description

Coinbase is seeking a Senior Machine Learning Platform Engineer to build and scale ML infrastructure across feature engineering, model training, and model serving. You will impact fraud detection, personalization, and blockchain analysis with scalable, reliable systems.

You will own ML inference infrastructure, streaming data pipelines, and distributed training while mentoring others to raise engineering standards and collaborate with ML engineers as a platform builder.