Senior Machine Learning Engineer

Coinbase

. Own end-to-end machine learning initiatives from problem formulation and offline evaluation through production deployment and online A/B testing .

Posted 11/6/2026full-timeRemote • United States, CanadaSenior💰 $213,750 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning engineering, particularly in building and deploying production ML systems, recommendation systems, and LLM applications. Proven ability to mentor engineers and drive complex projects while ensuring operational reliability and effective collaboration across teams.

Highest-signal resume keywords

Machine Learning EngineeringProduction ML SystemsRecommendation SystemsPython or Go ProgrammingMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSoftware DevelopmentRecommendation SystemsContextual BanditsOffline Model EvaluationA/B TestingData SkillsArchitectural Trade-offsGenerative AI OversightOperational Reliability

Soft Skills

MentoringProject ManagementCollaboration

Tools & Technologies

PyTorchGBDTsSparkDatabricksRayKafkaTecton

Industry Keywords

CryptoEquitiesDerivativesPrediction MarketsAI-native Workflows

Tech Stack

Tools & technologies

KafkaPythonPyTorchRaySparkGo

About the role

Key responsibilities & impact

Own end-to-end machine learning initiatives from problem formulation and offline evaluation through production deployment and online A/B testing
Build and iterate on recommendation, retrieval, and contextual bandit models for personalized experiences across crypto, equities, derivatives, and prediction markets
Design notification orchestration, candidate ranking, and targeting systems
Develop production LLM pipelines, grounding workflows, and automated evaluation loops for market insights and personalized financial content
Architect resilient, low-latency model-serving services and real-time feature pipelines
Eliminate technical debt, lead incident response, and improve operational reliability
Partner with Product, Data Science, and Engineering to shape the roadmap
Mentor L3-L4 engineers and build AI-native workflows and automation

Requirements

What you’ll need

5+ years of experience in machine learning engineering and software development
Track record of shipping production ML systems that move customer and business metrics
Experience in recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications
Strong software engineering and data skills in Python or Go
Hands-on proficiency with PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or Tecton
Practical knowledge of offline model evaluation, training-serving skew mitigation, and online A/B experiments tied to business metrics
Ability to drive complex projects end-to-end and make pragmatic architectural trade-offs
Ability to mentor junior engineers
Responsible use of generative AI with human oversight
Must be based in the USA; the posting also lists Remote - Canada as an office eligibility option

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions called “surges”
Reasonable accommodations for individuals with disabilities
Equal opportunity employment protections