Senior ML Platform Engineer: Scalable Inference & Streaming

Coinbase, Inc.; Austin (TX); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is seeking a Senior Machine Learning Platform Engineer to design and operate the core ML infrastructure that powers feature engineering, model training, and model serving at scale.

You will own streaming pipelines, low-latency inference, and distributed training, while building observability tools. You’ll mentor engineers and collaborate with ML teams to raise the platform's reliability and quality across the company.

Qualifications

• 5+ years of software engineering with distributed systems in production.
• Experience building low-latency ML infrastructure.
• Proven track record mentoring engineers.
• Familiarity with ML platform components and partnerships with ML teams.
• Responsible use of generative AI with human oversight.

Responsibilities

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

Skills

Distributed systems

Low-latency data pipelines

Model serving

Mentoring engineers

Generative AI governance

Tools

Feature stores

Model training orchestration

Streaming frameworks

Job description

Coinbase is seeking a Senior Machine Learning Platform Engineer to design and operate the core ML infrastructure that powers feature engineering, model training, and model serving at scale.

You will own streaming pipelines, low-latency inference, and distributed training, while building observability tools. You’ll mentor engineers and collaborate with ML teams to raise the platform's reliability and quality across the company.