Skip to main content
Coinbase logo

Staff Machine Learning Engineer, Compliance Automation (Platform)

Coinbase

Remote · USJob$218–257K/yrPosted 1w agoStill listed 4 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$218–257K/yr
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Staff Machine Learning Engineer will build production AI systems that automate Coinbase compliance operations, including investigation workflows and decision support. The role owns machine learning architecture and technical decisions for compliance agents, and partners with Compliance, Legal, and Operations to ensure automated outputs meet regulatory standards. The engineer will also mentor colleagues and develop evaluation frameworks for accurate, auditable systems.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning, requiredSoftware Engineering, requiredLLM Application Development, requiredAgentic AI, requiredPrompt Engineering, requiredRetrieval-Augmented Generation, requiredGrounding Techniques, requiredHallucination Reduction, requiredAgent Orchestration, requiredML Evaluation, requiredML Monitoring, requiredPython, requiredGenAI Frameworks, requiredML Infrastructure, requiredLangChain, requiredVector Databases, requiredAirflow, requiredSpark, requiredCompliance, requiredRegulatory Technology, requiredFinancial Crimes, requiredResponsible AI, requiredHuman Oversight, required

Qualifications

8+ Years Machine Learning and Software Engineering Experience, requiredProduction LLM or Agentic AI Experience, requiredProduction ML Evaluation Systems Experience, requiredRegulated Domain Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full 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.

As a Staff Machine Learning Engineer on the Compliance Automation team within the Platform group, you'll build the AI systems that are reimagining how Coinbase executes compliance operations at scale. This team designs and ships Agentic AI solutions that automate compliance processes, from investigation workflows to decision support, replacing manual operations with intelligent, auditable, and measurable automation. You'll own the ML architecture for production compliance agents, driving technical decisions on model selection, grounding, guardrails, and evaluation while partnering with Compliance stakeholders to ensure every automated output meets regulatory standards.

What You'll Do:

  • Architect and build production Agentic AI systems for compliance automation, including LLM-powered agents, orchestration pipelines, and decision support workflows that replace manual compliance processes

  • Own the ML technical direction for compliance agents, driving model selection, prompt engineering, grounding strategies, and guardrail design that ensure agent outputs are accurate, auditable, and regulatorily defensible

  • Design and implement evaluation and measurement frameworks that quantify agent performance, detect hallucinations and drift, and provide the auditability compliance teams and regulators require

  • Partner with Compliance, Legal, and Operations stakeholders to translate complex regulatory workflows into automatable technical specifications, identifying which processes are candidates for full automation vs. human-in-the-loop augmentation

  • Mentor engineers on ML system design, LLM application patterns, and responsible AI practices, raising the team's technical bar for production AI systems

Required Skills and Experience:

  • 8+ years in machine learning and software engineering, with demonstrated experience shipping LLM-based or Agentic AI applications to production

  • Deep expertise in LLM application development, including prompt engineering, retrieval-augmented generation (RAG), grounding techniques, hallucination reduction, and agent orchestration frameworks

  • Proven track record building evaluation and measurement systems for ML models in production, including monitoring for drift, accuracy degradation, and output quality at scale

  • Strong Python proficiency with hands-on experience in GenAI frameworks and ML infrastructure (e.g., LangChain, vector databases, Airflow, Spark, or equivalent orchestration and data processing tools)

  • Experience in compliance, regulatory technology, financial crimes, or similarly regulated domains where auditability, explainability, and correctness of automated decisions are critical

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

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): $218,025—$256,500 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.

How this job compares

Set against the 6,294 open Machine Learning Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$218–257K/yr
  • US median$150–246K/yr5,154 salary ranges

This range's midpoint, $237K, is 17% above the US median midpoint ($202K) — in the top quarter of Machine Learning Engineer salary ranges across the US.

Openings
Olive Jobs lists 6,294 open Machine Learning Engineer jobs across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 8 years of experience — more than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 5,032 postings).
Education
2,031 of the 6,294 open Machine Learning Engineer jobs (32%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.