Remote-First Senior ML Platform Engineer

Coinbase, Inc.; Trenton (NJ); Hybrid; USD 191,000 - 225,000; Full time

Benefits offered by this job

Equity and bonus eligibility

Health insurance

Dental coverage

Vision coverage

401(k)

Job summary

Coinbase is seeking a Senior Machine Learning Platform Engineer to build the foundational infrastructure powering feature engineering, model training, and model serving across the company. You will own critical systems spanning streaming, distributed training, and scalable inference, shaping how ML scales in production.

The role emphasizes collaboration with ML engineers as a platform builder and requires leadership in design reviews and code quality, with a focus on responsible AI usage and

Qualifications

• 5+ years in software engineering with distributed systems ownership.
• Experience building/operating low-latency ML infra.
• Proven mentoring and engineering leadership.
• Familiarity with ML platform components for collaboration.
• Responsible use of generative AI with human oversight.

Responsibilities

• Own design and reliability of ML inference infrastructure.
• Build low-latency streaming pipelines to feed models.
• Improve distributed training infrastructure.
• Develop observability for data quality in models.
• Mentor junior engineers to raise engineering standards.

Skills

Distributed systems

Low-latency streaming pipelines

Model serving frameworks

Mentoring engineers

Observability tooling

Production-grade software

Generative AI usage

Tools

Feature stores

Model serving frameworks

Training orchestration

Job description

Coinbase is seeking a Senior Machine Learning Platform Engineer to build the foundational infrastructure powering feature engineering, model training, and model serving across the company. You will own critical systems spanning streaming, distributed training, and scalable inference, shaping how ML scales in production.

The role emphasizes collaboration with ML engineers as a platform builder and requires leadership in design reviews and code quality, with a focus on responsible AI usage and