H-1B Visa Machine Learning Jobs
Machine Learning roles qualify as H-1B visa specialty occupations under the computer and mathematical occupations category, requiring at least a bachelor's degree in computer science, statistics, or a related field. Employers file an LCA with DOL before petitioning USCIS, certifying that your wage meets the prevailing level for your work location.
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Get Access To All JobsINTRODUCTION
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.”
ROLE AND RESPONSIBILITIES
Staff Machine Learning Engineer, Identity Verification
As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts.
What you'll do:
- Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement.
- Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding.
- Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency.
- Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users.
- Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.
BASIC QUALIFICATIONS
- 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production.
- Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
- Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure.
- Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
COMPENSATION
- Annual base salary range (excluding equity and bonus): $218,025 USD - $256,500 USD
Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
APPLICATION LIMIT
Candidates may submit a maximum of 4 applications per 30-day 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.
AI DISCLOSURE
Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.
INTRODUCTION
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.”
ROLE AND RESPONSIBILITIES
Staff Machine Learning Engineer, Identity Verification
As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts.
What you'll do:
- Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement.
- Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding.
- Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency.
- Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users.
- Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.
BASIC QUALIFICATIONS
- 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production.
- Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
- Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure.
- Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
COMPENSATION
- Annual base salary range (excluding equity and bonus): $218,025 USD - $256,500 USD
Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
APPLICATION LIMIT
Candidates may submit a maximum of 4 applications per 30-day 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.
AI DISCLOSURE
Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.
See all 4,201+ H-1B Visa Machine Learning Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Machine Learning Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Machine Learning
Verify your degree field matches
USCIS requires a direct relationship between your degree and the ML role. A computer science or statistics degree maps cleanly, but a business degree rarely does. If your degree is adjacent, gather course transcripts showing machine learning or data science coursework before applying.
Check prevailing wages before negotiating
Use the OFLC Wage Search to look up the Level I through Level IV wage for your specific SOC code and work location. Your offer must meet at least Level I, but most ML roles are filed at Level II or III, which affects what employers can realistically sponsor.
Target employers with cap-exempt filing pathways
Universities, nonprofit research organizations, and government research entities can file H-1B petitions year-round without entering the lottery. ML research roles at these institutions let you start work before October 1, bypassing the April registration window entirely.
Find verified H-1B sponsors on Migrate Mate
Search Migrate Mate to identify employers with confirmed LCA filing history for machine learning and data science roles. You'll see which companies have actually sponsored H-1B workers in your target occupation, not just which ones claim to be open to sponsorship.
Clarify remote work before the LCA is filed
Your employer's LCA ties your prevailing wage to a specific worksite location. If you're working remotely from a different metro area than the employer's office, a separate LCA must be filed for that location. Resolve this before the petition is submitted, not after.
Request premium processing if your OPT end date is close
USCIS offers premium processing on Form I-129, which guarantees a decision within 15 business days. If your OPT authorization expires within three to four months of your start date, ask your employer to elect premium processing to avoid a gap in work authorization.
H-1B Visa Machine Learning: Frequently Asked Questions
Does a machine learning role qualify as a specialty occupation for H-1B purposes?
Yes. Machine learning positions fall under computer and mathematical occupations and consistently qualify as specialty occupations because they require theoretical and practical application of highly specialized knowledge in algorithms, statistical modeling, or neural network architecture. USCIS expects your degree to be in a directly related field such as computer science, applied mathematics, or statistics, not a general business or unrelated technical discipline.
Which employers actually sponsor H-1B visas for machine learning jobs?
Technology companies, financial services firms, healthcare analytics organizations, and defense contractors are the most active H-1B sponsors for ML roles. The most reliable way to identify verified sponsors is to search Migrate Mate, which surfaces employers based on confirmed DOL LCA filing history for machine learning and related data science occupations, rather than self-reported sponsorship willingness.
How does the H-1B lottery affect machine learning job seekers specifically?
The annual H-1B cap applies to most private-sector ML roles, with registration opening each March and USCIS conducting a random lottery if registrations exceed the 85,000 cap. If you're not selected, employment at a cap-exempt institution such as a university research lab or qualifying nonprofit is the primary alternative that bypasses the lottery entirely and allows an immediate petition filing.
Can my employer file my H-1B petition while I'm working on OPT STEM extension?
Yes, and this is the standard path for most F-1 graduates. Your employer registers you in the March lottery, and if selected, files Form I-129 before October 1. Your STEM OPT remains valid until your H-1B status takes effect, provided your employer is E-Verify enrolled, which is a mandatory condition for all STEM OPT extensions. Confirm E-Verify enrollment before accepting an offer.
What happens to my H-1B status if my machine learning role changes significantly?
A material change in job duties, title, or work location can require your employer to file an amended H-1B petition with USCIS before the change takes effect. Moving from an individual contributor ML role to a managerial position, or shifting from model development to data engineering, are the kinds of changes that typically trigger an amendment. Ask your employer to review any significant role change with their immigration counsel before it's finalized.