H-1B Visa Machine Learning Scientist Jobs
Machine Learning Scientist roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences SOC category, requiring at least a bachelor's degree in computer science, statistics, or a related field. Most employers filing LCAs for these roles list prevailing wage levels III or IV, reflecting the research-heavy nature of the position.
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Get Access To All JobsSUMMARY
At Apple, we believe privacy is a fundamental human right. Our Security Engineering & Architecture (SEAR) organization is at the forefront of protecting billions of users worldwide, building security into every product, service, and experience we create. The SEAR ML Security Engineering team combines cutting-edge machine learning with world-class security engineering to defend against evolving threats at unprecedented scale. We're responsible for developing intelligent security systems for Apple Intelligence that protect Apple's ecosystem while preserving the privacy our users expect and deserve. We're seeking a ML Security Research Scientist who operates at the intersection of applied research and production impact. You'll lead original security research on agentic ML systems deployed at scale—driving secure agentic design directly into shipping products, identifying real vulnerabilities in tool-using models and designing adversarial evaluations that reflect actual attacker behavior. You'll work at the boundary between research, platform engineering, and product security, translating findings into architectural decisions, launch requirements, and long-term hardening strategies that protect billions of users. Your impact will be measured by risk reduction in production systems that ship.
DESCRIPTION
This role focuses on applied security research for production ML systems, with an emphasis on agentic and tool-using models deployed at scale. You will lead research efforts that surface real security risks in shipped or near-shipped systems, and you will drive mitigations that integrate cleanly into Apple’s ML platforms and products. You will operate at the boundary between research, platform engineering, and product security, conducting original research grounded in real system behavior and translating it into concrete design changes, launch requirements, and long-term hardening strategies. Impact is measured by risk reduction in production, not theoretical results alone.
MINIMUM QUALIFICATIONS
- Ph.D. or equivalent experience in machine learning, security, systems, or a related field.
- Demonstrated experience in applied ML security, adversarial ML, or systems security with real-world impact.
- Strong experimental and engineering skills, with an emphasis on reproducibility and operational relevance.
PREFERRED QUALIFICATIONS
- Experience researching or securing LLM-based or tool-augmented ML systems.
- Ability to work fluidly across research, engineering, and security review processes.
- Track record of influencing production systems through research-driven insights.
- Publications in top venues are a plus, but production impact is the primary signal.
COMPENSATION
- Base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
At Apple, we believe privacy is a fundamental human right. Our Security Engineering & Architecture (SEAR) organization is at the forefront of protecting billions of users worldwide, building security into every product, service, and experience we create. The SEAR ML Security Engineering team combines cutting-edge machine learning with world-class security engineering to defend against evolving threats at unprecedented scale. We're responsible for developing intelligent security systems for Apple Intelligence that protect Apple's ecosystem while preserving the privacy our users expect and deserve. We're seeking a ML Security Research Scientist who operates at the intersection of applied research and production impact. You'll lead original security research on agentic ML systems deployed at scale—driving secure agentic design directly into shipping products, identifying real vulnerabilities in tool-using models and designing adversarial evaluations that reflect actual attacker behavior. You'll work at the boundary between research, platform engineering, and product security, translating findings into architectural decisions, launch requirements, and long-term hardening strategies that protect billions of users. Your impact will be measured by risk reduction in production systems that ship.
DESCRIPTION
This role focuses on applied security research for production ML systems, with an emphasis on agentic and tool-using models deployed at scale. You will lead research efforts that surface real security risks in shipped or near-shipped systems, and you will drive mitigations that integrate cleanly into Apple’s ML platforms and products. You will operate at the boundary between research, platform engineering, and product security, conducting original research grounded in real system behavior and translating it into concrete design changes, launch requirements, and long-term hardening strategies. Impact is measured by risk reduction in production, not theoretical results alone.
MINIMUM QUALIFICATIONS
- Ph.D. or equivalent experience in machine learning, security, systems, or a related field.
- Demonstrated experience in applied ML security, adversarial ML, or systems security with real-world impact.
- Strong experimental and engineering skills, with an emphasis on reproducibility and operational relevance.
PREFERRED QUALIFICATIONS
- Experience researching or securing LLM-based or tool-augmented ML systems.
- Ability to work fluidly across research, engineering, and security review processes.
- Track record of influencing production systems through research-driven insights.
- Publications in top venues are a plus, but production impact is the primary signal.
COMPENSATION
- Base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
See all 719+ H-1B Visa Machine Learning Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Machine Learning Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Machine Learning Scientist
Map your SOC code before applying
Machine Learning Scientist roles are typically filed under SOC 15-2051 (Data Scientists) or 15-1299 (Computer and Information Research Scientists). Confirming which code your target employer uses helps you verify the prevailing wage tier in the OFLC Wage Search before you negotiate.
Document research output as specialty occupation evidence
USCIS scrutinizes ML Scientist petitions for specialty occupation proof. Compile publications, patents, conference presentations, and model deployment records now. Adjudicators weigh whether the role requires a specific theoretical body of knowledge, not just technical tools.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated labs are cap-exempt H-1B employers. If you're mid-lottery cycle, these organizations can file year-round. Check whether a research lab arm of a tech company qualifies before assuming you must wait for the next registration window.
Use Migrate Mate to filter verified H-1B sponsors
Search Machine Learning Scientist roles on Migrate Mate to see employers with confirmed LCA filing history for this occupation code. That filters out postings from companies that list the title but have never sponsored the visa category.
Negotiate premium processing into your offer timeline
Standard H-1B adjudication runs several months, which matters if you're on OPT with a hard end date. Ask hiring managers early whether the company routinely uses USCIS premium processing for ML roles, since research-focused teams sometimes have different approval workflows than engineering orgs.
Align your degree field to the job description language
If your degree is in physics or applied mathematics rather than computer science, the employer's job description must explicitly require theoretical depth in those fields. Request that the offer letter and LCA job duties reflect this connection before the petition is filed with USCIS.
H-1B Visa Machine Learning Scientist: Frequently Asked Questions
Do Machine Learning Scientist roles qualify as H-1B specialty occupations?
Yes. Machine Learning Scientist positions qualify because they require at minimum a bachelor's degree in a specific technical field such as computer science, statistics, mathematics, or a related discipline. USCIS evaluates the role itself, not just the job title, so the employer's job description must clearly reflect that a specific theoretical background is required, not merely preferred.
Which employers sponsor H-1B visas for Machine Learning Scientists?
Technology companies, financial services firms, pharmaceutical companies, and research universities all file LCAs for Machine Learning Scientist roles. You can browse employers with verified LCA filing history for this occupation on Migrate Mate, which surfaces DOL disclosure data by job title and location so you're applying to companies that have actually sponsored the role before.
What prevailing wage level applies to Machine Learning Scientist H-1B petitions?
Most Machine Learning Scientist petitions are filed at DOL wage levels III or IV, which correspond to experienced and fully competent workers with specialized expertise. The exact level depends on the SOC code the employer selects and the geographic work location. You can verify the applicable wage for a specific location using the OFLC Wage Search before or during salary negotiations.
Can a Machine Learning Scientist work remotely on an H-1B?
Remote work is permitted, but the employer must file a new or amended LCA for each physical work location where you spend substantial time. If you relocate or work from a different state for an extended period, the employer needs to post the new LCA and update USCIS. Short-term travel to client sites or conferences generally doesn't trigger an amendment requirement.
Does a PhD help when applying for Machine Learning Scientist roles with H-1B sponsorship?
A PhD strengthens both your candidacy and the specialty occupation argument in the H-1B petition. Roles explicitly requiring a doctoral degree face less USCIS scrutiny on specialty occupation grounds because the advanced degree requirement is unambiguous. For roles where a master's degree is the stated minimum, a PhD can also support a higher prevailing wage level classification, which affects the offer structure.