Senior ML Platform Engineer - Real-time Inference

Coinbase, Inc.; Lincoln (NE); Remote; USD 191,000 - 225,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to build foundational ML infrastructure that powers feature engineering, model training, and model serving at scale.

You will shape how ML integrates across fraud detection, personalization, and blockchain analytics, spanning streaming, training, and inference services. The role emphasizes ownership, reliability, and the ability to mentor others, while collaborating with ML engineers and platform teams to raise engineering

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 handling data at scale.
• Proven track record mentoring engineers and improving engineering quality through reviews.
• Familiarity with ML platform components to partner with ML engineers as a platform builder.
• Responsible use of generative AI with human oversight to improve workflow efficiency and quality.

Responsibilities

• Own the design and reliability of ML inference infrastructure with high availability and low latency.
• Build and optimize low-latency streaming pipelines delivering fresh feature data to models.
• Drive improvements to distributed training infrastructure for large data processing.
• Develop observability tooling to monitor data quality entering models and detect degradation.
• Mentor junior engineers to raise engineering standards over time.

Skills

Distributed systems

Streaming pipelines

Mentoring

ML platform components

Generative AI governance

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to build foundational ML infrastructure that powers feature engineering, model training, and model serving at scale.

You will shape how ML integrates across fraud detection, personalization, and blockchain analytics, spanning streaming, training, and inference services. The role emphasizes ownership, reliability, and the ability to mentor others, while collaborating with ML engineers and platform teams to raise engineering