Senior Machine Learning Engineer

Coinbase, Inc.; Olympia (WA); Hybrid; USD 214,000 - 225,000; Full time

Job summary

Coinbase, Inc. in the United States seeks a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives—from problem framing and feature engineering to production serving and online experiments.

You will collaborate with Product, Data Science, and Engineering to shape the roadmap and deliver measurable business impact. You will build scalable models for recommendations, ranking, and alerts, deploy robust pipelines, mentor junior engineers, and help raise the team’s velocity with

Qualifications

• 5+ years of experience in machine learning engineering and software development, with a track record of shipping production ML systems.
• Proven track record in recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications.
• Strong software engineering and data skills in a backend language like Python or Go, with hands-on proficiency in modern ML and data stacks.
• Deep practical knowledge of offline model evaluation, training-serving skew mitigation, and online A/B experiments tied to business metrics.
• Demonstrated ability to drive complex projects end-to-end and mentor junior engineers.

Responsibilities

• Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing.
• Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models serving millions of users.
• Design intelligent notification orchestration and targeting systems to improve user experience.
• Develop production LLM pipelines and real-time market insights content.
• Architect low-latency model serving services and real-time feature pipelines.
• Mentor L3-L4 engineers and shape team roadmap with Product and Data Science.

Skills

ML engineering

Production ML

Python/Go

PyTorch

Spark/Databricks

Ray

Kafka

Tecton

offline evaluation

A/B testing

mentoring

Tools

PyTorch

Spark/Databricks

Ray

Kafka

Tecton

Job description

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase.

The ML & Discovery team in Consumer Growth builds the machine learning systems that help millions of customers discover what to trade and engage with next across crypto, equities, derivatives, and prediction markets. Our models and platforms power personalized feed and asset ranking, intelligent notification orchestration, and LLM-driven market insights across the Coinbase app. As a Senior Machine Learning Engineer (L5) you will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and modeling to production serving and online A/B experimentation. Partnering closely with Product, Data Science, and Engineering in a high-velocity, data-driven environment, you will shape our team's roadmap, raise our engineering quality bar, and use AI-native workflows to deliver measurable business impact.

What you’ll do:

• Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurable lifts in user engagement, retention, and trading activity.

• Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models that serve personalized experiences to millions of users across crypto, equities, derivatives, and prediction markets.

• Design intelligent notification orchestration, candidate ranking, and targeting systems that match users with timely, high-value alerts while avoiding fatigue and improving user experience.

• Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized financial content.

• Architect resilient, low-latency model serving services and real-time feature pipelines, eliminating technical debt, leading incident response, and raising our operational reliability bar.

• Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that multiply team velocity.

Required Skills and Experience:

• 5+ years of experience in machine learning engineering and software development, with a track record of shipping production ML systems that move customer and business metrics.

• Proven track record in one or more relevant domains: recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications.

• Strong software engineering and data skills in a backend language like Python or Go, with hands-on proficiency in modern ML and data stacks (such as PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or Tecton).

• Deep practical knowledge of offline model evaluation, training-serving skew mitigation, and design/interpretation of online A/B experiments tied to business metrics.

• Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers.

• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

P77866

#LI-Remote

*Pay Transparency Notice:** *Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):

$213,750—$225,000 USD

• *Application Limit: *Candidates may submit a maximum of 3 applications within a 6-month period.

• *Equal Opportunity Employer: *Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.

• *US Applicants: *View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.

• *Accommodations: *If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.

• *Data Privacy & Arbitration: *By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.