Remote-First Senior ML Platform Engineer

Coinbase, Inc.

City of Albany (NY)

Hybrid

USD 191,000 - 225,000

Full time

7 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to design and own the ML inference and streaming infrastructure that powers feature engineering, model training, and serving across the company.

You will influence systems spanning streaming, distributed training, and highly available inference, directly shaping how ML scales at Coinbase. The role emphasizes building reliable pipelines, mentoring engineers, and partnering with ML teams to deliver production-grade platforms

Qualifications

  • 5+ years of industry experience as a software engineer with ownership of distributed systems.
  • Experience building/operating low-latency ML infrastructure or data pipelines.
  • Mentoring engineers through code/design reviews to raise quality.
  • Familiarity with ML platform components to partner with ML engineers as a platform builder.

Responsibilities

  • Own 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 efficient large-scale data processing.
  • Develop observability tooling to monitor data quality entering models and detect degradations.
  • Mentor junior engineers to elevate engineering standards across the team.

Skills

Distributed systems
Low-latency infra
Mentoring engineers
ML platform familiarity
Generative AI governance

Tools

Feature stores
Model serving frameworks
Training orchestration

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Platform Engineer to design and own the ML inference and streaming infrastructure that powers feature engineering, model training, and serving across the company.

You will influence systems spanning streaming, distributed training, and highly available inference, directly shaping how ML scales at Coinbase. The role emphasizes building reliable pipelines, mentoring engineers, and partnering with ML teams to deliver production-grade platforms

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