InternFlow

Greenhouse ·

full-time

Senior Machine Learning Platform Engineer(platform - Identity)

Coinbase · Remote - USA

Education

  • Level: Bachelor's degree
Machine Learning Platform EngineeringHybrid5-5 yrs experience

Key Skills

Distributed SystemsLow-latency Data InfrastructureStreaming PipelinesOnline Serving SystemsDistributed TrainingFeature StoresModel Serving FrameworksTraining OrchestrationGenerative AIObservability Tooling

Notes

Remote-first with quarterly in-person surges; 5+ years experience; salary $191k-$225k

Experience required

5-5 years experience
0 yrs10+ yrs

About the Role Senior Machine Learning Platform Engineer on the ML Platform team building infrastructure for feature engineering, model training, and model serving across Coinbase. Supports fraud detection, personalization, blockchain analysis. Responsibilities Own design and reliability of ML inference infrastructure for predictive models and LLMs. Build and optimize low-latency streaming pipelines. Improve distributed training infrastructure. Develop observability tooling for data quality. Mentor junior engineers. Requirements 5+ years software engineering experience with distributed systems. Experience building low-latency data or ML infrastructure at scale. Experience with feature stores, model serving frameworks, training orchestration. Ability to use generative AI responsibly. Strong technical leadership and mentoring. Eligibility Remote-first role with quarterly in-person surges. Open to candidates meeting experience requirements. Salary range $191,250-$225,000 USD.

Skills for this role

Distributed SystemsLow-latency Data InfrastructureStreaming PipelinesOnline Serving SystemsDistributed TrainingFeature StoresModel Serving FrameworksTraining OrchestrationGenerative AIObservability Tooling
RoleSenior Machine Learning Platform Engineer
CompanyCoinbase
LocationRemote - USA
CompensationNot disclosed
Posted2026-09-21
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

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