Senior ML Platform Engineer – Inference & Streaming (Remote)

Coinbase, Inc.; Providence (RI); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is seeking a Senior Machine Learning Platform Engineer to architect and operate the infrastructure that powers feature engineering, model training, and model serving. You will influence fraud detection, personalization, and blockchain analytics by building scalable streaming and training systems and delivering reliable inference services.

The role emphasizes ownership of end-to-end ML platform components, observability, and collaboration with ML engineers while maintaining responsible

Qualifications

• 5+ years of industry experience as a software engineer with distributed systems in production.
• Experience building low-latency ML infrastructure and streaming pipelines.
• Mentored engineers and contributed to code/design reviews.

Responsibilities

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

Skills

Distributed systems

Low-latency infrastructure

Mentoring engineers

ML platform components

Generative AI governance

Tools

Streaming pipelines

Model serving frameworks

Training orchestration

Observability tooling

Job description

Coinbase is seeking a Senior Machine Learning Platform Engineer to architect and operate the infrastructure that powers feature engineering, model training, and model serving. You will influence fraud detection, personalization, and blockchain analytics by building scalable streaming and training systems and delivering reliable inference services.

The role emphasizes ownership of end-to-end ML platform components, observability, and collaboration with ML engineers while maintaining responsible