H-1B Visa Machine Learning Research Jobs
Machine Learning Research roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences category, requiring at least a bachelor's degree in a directly related field. Employers filing H-1B petitions for these positions must certify a prevailing wage through DOL before USCIS adjudicates the petition.
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Get Access To All JobsCompany:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Researcher
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Researcher, you will conduct fundamental research that creates innovative machine learning methodology that achieves beyond state-of-the-art performance. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research.
Minimum Qualifications:
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
* 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred Qualifications:
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
2+ publications at a machine learning conference.
2+ years of experience working in a large matrixed organization.
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
* 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Principal Duties and Responsibilities:
Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
Develops and publishes research findings in the form of presentations and conference papers.
Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Level of Responsibility:
Works independently with minimal supervision.
Decision-making may affect work beyond immediate work group.
Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
* Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$159,100.00 - $238,700.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Researcher
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Researcher, you will conduct fundamental research that creates innovative machine learning methodology that achieves beyond state-of-the-art performance. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research.
Minimum Qualifications:
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
* 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred Qualifications:
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
2+ publications at a machine learning conference.
2+ years of experience working in a large matrixed organization.
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
* 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Principal Duties and Responsibilities:
Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
Develops and publishes research findings in the form of presentations and conference papers.
Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Level of Responsibility:
Works independently with minimal supervision.
Decision-making may affect work beyond immediate work group.
Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
* Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$159,100.00 - $238,700.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
See all 423+ H-1B Visa Machine Learning Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Machine Learning Research Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Machine Learning Research
Verify your degree maps to the role
USCIS scrutinizes whether your degree field directly relates to machine learning research. A degree in computer science, statistics, or applied mathematics strengthens your petition. An unrelated degree, even with years of ML experience, increases RFE risk significantly.
Use OFLC Wage Search before negotiating salary
Pull the prevailing wage for your SOC code and work location using OFLC Wage Search before any offer discussion. Research roles often fall under Level III or IV wages, and knowing the floor prevents accepting an offer that fails DOL certification.
Target employers with cap-exempt H-1B filing history
Universities, nonprofit research institutions, and government research organizations can file H-1B petitions outside the annual cap. If you're pursuing a research role, these employers give you year-round petition filing without lottery exposure.
Search verified H-1B sponsors on Migrate Mate
Filter Machine Learning Research openings by employers with confirmed H-1B LCA filing history on Migrate Mate. This shows which companies have sponsored comparable roles, so you're not spending time on employers unlikely to file for your position.
Request premium processing before your OPT expires
If you're transitioning from OPT, file with premium processing so USCIS adjudicates within 15 business days. Standard processing can run several months, and an unadjudicated petition during a status gap creates authorization problems.
Confirm the job description covers specialty occupation
Ask your future employer to document that the Machine Learning Research role requires a specific technical degree, not just a generic bachelor's. Vague job descriptions that accept any STEM degree are the leading cause of specialty occupation RFEs.
H-1B Visa Machine Learning Research: Frequently Asked Questions
Does a Machine Learning Research role qualify as an H-1B specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, statistics, applied mathematics, or electrical engineering. USCIS evaluates the job duties, not the job title. If the role accepts any general degree, it may not meet the specialty occupation standard, which is why the job description's degree requirement language matters.
How do I find employers actively sponsoring H-1B visas for Machine Learning Research positions?
Search on Migrate Mate, which surfaces employers with verified H-1B LCA filing history for machine learning and research roles. DOL's LCA disclosure data is publicly available and shows which companies have filed for comparable positions, giving you a concrete shortlist rather than guessing at which employers are willing to sponsor.
What H-1B wage level typically applies to Machine Learning Research roles?
Most Machine Learning Research positions fall under SOC code 15-2051 (Data Scientists) or 15-1221 (Computer and Information Research Scientists). DOL assigns wage levels based on experience and supervisory responsibility. Entry-level researchers typically land at Level II, while senior or independent researchers often qualify at Level III or IV. Use OFLC Wage Search to verify the prevailing wage for your specific location.
Can I work on H-1B for a research university or national lab without entering the lottery?
Yes. Universities and affiliated nonprofit research organizations are cap-exempt H-1B employers, meaning they can file petitions at any time without competing in the annual lottery. National labs affiliated with universities or government agencies often share this exemption. Confirm the employer's cap-exempt status before assuming year-round filing is available, as the affiliation structure determines eligibility.
What documentation strengthens an H-1B petition for a Machine Learning Research role?
Your employer's petition benefits from a detailed job description tying specific duties to your degree field, academic transcripts showing relevant coursework, published research or conference papers demonstrating specialized expertise, and any professional certifications in relevant tools or methods. If your degree is from outside the U.S., a credential evaluation from a NACES-member evaluator showing equivalency to a U.S. bachelor's is essential for USCIS review.