Remote Senior ML Platform Engineer (Identity & Inference)

Coinbase, Inc.

Des Moines (IA)

Hybrid

USD 191,000 - 225,000

Full time

6 days ago
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Job summary

Coinbase is a remote-first company with quarterly in-person surges. We are seeking a Senior Machine Learning Platform Engineer to build foundational infrastructure for feature engineering, model training, and model serving across the organization.

You will own systems spanning streaming, distributed training, and high-availability inference services that shape ML scale at Coinbase. You will mentor engineers, improve production-grade software, and partner with ML teams on platform components

Qualifications

  • 5+ years of industry experience as a software engineer with distributed systems in production.
  • Built and operated low-latency ML infrastructure (streams/serving) at scale.
  • Mentored engineers to improve engineering quality via reviews.
  • Familiar with ML platform components (feature stores, model serving, training orchestration).
  • Uses generative AI responsibly with human oversight to improve workflows, cost, and quality.

Responsibilities

  • Own design and reliability of ML inference infrastructure with high availability and low latency.
  • Build and optimize low-latency streaming pipelines for fresh feature data.
  • Improve distributed training infrastructure for efficient large-scale processing.
  • Develop observability tooling to monitor data quality entering models.
  • Mentor junior engineers and raise engineering standards across the team.

Skills

Distributed systems
Mentoring
ML platforms
Generative AI governance
Low-latency infra

Job description

Coinbase is a remote-first company with quarterly in-person surges. We are seeking a Senior Machine Learning Platform Engineer to build foundational infrastructure for feature engineering, model training, and model serving across the organization.

You will own systems spanning streaming, distributed training, and high-availability inference services that shape ML scale at Coinbase. You will mentor engineers, improve production-grade software, and partner with ML teams on platform components

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