Senior ML Platform Engineer: Scalable Inference & Training

Coinbase, Inc.; Olympia (WA); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to design and maintain scalable ML inference infrastructure and streaming pipelines. You will enable feature engineering, model training, and serving across the platform, supporting fraud detection and personalization at scale.

You will mentor engineers, collaborate with ML teams, and uphold responsible AI practices while delivering high-availability systems and low-latency services for production workloads.

Qualifications

• 5+ years of software engineering with ownership of distributed systems.
• Experience with low-latency data or ML infrastructure.
• Mentored engineers and improved engineering quality.
• Familiar with ML platform components to partner with ML engineers.
• Responsible use of generative AI with human oversight.

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

Skills

Distributed systems

Mentoring

Low-latency infra

Observability tooling

Leadership

Tools

Feature stores

Model serving frameworks

Training orchestration

Streaming pipelines

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to design and maintain scalable ML inference infrastructure and streaming pipelines. You will enable feature engineering, model training, and serving across the platform, supporting fraud detection and personalization at scale.

You will mentor engineers, collaborate with ML teams, and uphold responsible AI practices while delivering high-availability systems and low-latency services for production workloads.