Pay
In line with similar jobs
$218K–$257K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Staff Machine Learning Engineer, Compliance Automation (Platform)
Remote - USA
Actively hiring, first seen by us 6 days ago- Pay
USD 218,025–256,500/year · BaseExcludes bonus, equity — pay source
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.
Read the full posting- Work setting
Working pattern needs review — work setting source
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.
Listed location: Remote - USA
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingArchitect and build production agentic AI systems for compliance automation
Own ML technical direction: model selection, prompts, grounding and guardrails
Build evaluation frameworks to detect hallucinations, drift and performance gaps
Turn regulatory workflows into specs, choosing full automation or human-in-the-loop
Mentor engineers on ML system design and responsible AI practices
From the employer’s posting
Architect and build production Agentic AI systems for compliance automation
Own the ML technical direction for compliance agents, driving model selection, prompt engineering, grounding strategies, and guardrail design
Design and implement evaluation and measurement frameworks that quantify agent performance, detect hallucinations and drift
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
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 6
Similar jobs usually come down between day 6 and day 69.
From 4,347 similar postings that came down. Coming down is not always a hire.
Coinbase is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Airflow
Where the posting names them
- 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
Your next step
Complete your application on www.coinbase.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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- Pay
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.
- Location & working pattern
Remote - USA
This passage needs a closer read in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.