Senior ML Platform Engineer — Real-Time Inference

Coinbase, Inc.; Frankfort (KY); Hybrid; USD 191,000 - 225,000; Full time

Benefits offered by this job

Equity participation

Bonus eligibility

Medical, dental, vision

401(k)

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to build the foundational infrastructure for feature engineering, model training, and model serving across the company.

You will own systems spanning streaming pipelines, distributed training, and highly available inference services, enabling ML at scale and partnering with ML engineers as a platform builder. You will mentor others and contribute to observability and governance efforts to maintain high standards.

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 processing data at scale.
• Mentored engineers and elevated engineering quality through reviews and design discussions.
• Familiarity with ML platform components to partner with ML engineers as a platform builder.
• Responsible use of generative AI with human oversight to improve workflows, cost, 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 production models.
• Improve distributed training infrastructure for large-scale data processing.
• Develop observability tooling to monitor data quality and detect degradations.
• Mentor junior engineers to raise the team's engineering standards over time.

Skills

Distributed systems

Mentoring engineers

High availability

Low-latency infra

Generative AI governance

Tools

ML platform components

Feature stores

Model serving frameworks

Training orchestration

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to build the foundational infrastructure for feature engineering, model training, and model serving across the company.

You will own systems spanning streaming pipelines, distributed training, and highly available inference services, enabling ML at scale and partnering with ML engineers as a platform builder. You will mentor others and contribute to observability and governance efforts to maintain high standards.