STEM OPT Machine Learning Research Jobs
Machine Learning Research roles at E-Verify-enrolled employers qualify for the 24-month STEM OPT extension, giving you up to 36 months of F-1 work authorization. Eligible degrees span computer science, statistics, electrical engineering, and related STEM CIP codes. Your employer must file a formal I-983 training plan with your DSO before your extension begins.
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Get Access To All JobsApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other’s ideas stronger. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms.
Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple’s outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple’s privacy policy by achieving all of the above on device with powerful Machine Learning.
Description
As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!
Minimum Qualifications
- Strong machine learning fundamentals
- Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments
- Strong programming and communication skills
- Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience)
Preferred Qualifications
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models
- Experience with hardware architecture, software & hardware co-design
- Experience with deploying large ML models in real world products
- Actively programming with high-quality codes across complex and large repositories
- Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc
- Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other’s ideas stronger. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms.
Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple’s outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple’s privacy policy by achieving all of the above on device with powerful Machine Learning.
Description
As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity!
Minimum Qualifications
- Strong machine learning fundamentals
- Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments
- Strong programming and communication skills
- Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience)
Preferred Qualifications
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models
- Experience with hardware architecture, software & hardware co-design
- Experience with deploying large ML models in real world products
- Actively programming with high-quality codes across complex and large repositories
- Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc
- Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 216+ STEM OPT Machine Learning Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Machine Learning Research Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in Machine Learning Research
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the USCIS STEM Designated Degree Program List. Computer science, statistics, and applied mathematics codes typically qualify, but interdisciplinary programs sometimes don't. Confirm with your DSO before targeting roles.
Search employers through Migrate Mate first
Filter your Machine Learning Research job search on Migrate Mate to surface employers with verified E-Verify enrollment. This cuts out the manual legwork of cross-checking each company before you apply and saves you from pursuing dead-end opportunities.
Confirm E-Verify enrollment before accepting any offer
Ask your hiring contact directly whether the employer is enrolled in E-Verify and request their E-Verify Company ID number. An employer that can't provide this cannot legally employ STEM OPT students, regardless of how willing they are to support your extension.
Draft your I-983 training plan before your start date
USCIS requires a completed I-983 on file with your DSO before your STEM OPT extension activates. For Machine Learning Research roles, map specific projects and deliverables to learning objectives that align with your STEM degree field. Generic plans get rejected.
Target research labs with existing OPT infrastructure
University-affiliated research centers, national labs, and large tech R&D divisions process STEM OPT extensions regularly and have HR staff familiar with the I-983 requirements. First-time STEM OPT employers often cause delays because they're unfamiliar with their obligations under the training plan.
Use O*NET to frame your role's specialty occupation credentials
Pull the Machine Learning Research occupation profile from O*NET and match your degree field to the listed knowledge and skills requirements. This documentation strengthens your case if your employer or DSO needs to justify how your degree directly relates to the role.
Frequently Asked Questions
Does a Machine Learning Research role qualify for the STEM OPT extension?
Yes, provided your degree falls under a STEM-designated CIP code and the role directly applies skills from that field. Machine Learning Research positions typically satisfy this because they require quantitative reasoning, algorithm development, and statistical modeling rooted in computer science, mathematics, or engineering disciplines. Confirm your specific degree's eligibility with your DSO using the USCIS STEM Designated Degree Program List.
What E-Verify obligation does my employer have for my STEM OPT?
Your employer must be actively enrolled in E-Verify at the time your STEM OPT extension begins. Enrollment alone isn't sufficient if it lapsed. You can ask your employer to show you their E-Verify Company ID or employer participation page. If they're not enrolled, they cannot legally employ you under a STEM OPT extension, and you'd need to find an enrolled employer before your initial OPT period ends.
What goes into the I-983 training plan for a research role?
The I-983 requires a description of the research objectives, the specific skills you'll develop, how those skills connect to your STEM degree, and measurable goals your employer will evaluate. For Machine Learning Research, this typically means documenting model development cycles, experimental design responsibilities, and technical mentorship structures. Both you and a company supervisor must sign it, and your DSO must receive it before your extension is approved.
How does cap-gap protection work if I'm in a Machine Learning Research role during H-1B season?
If your employer files an H-1B visa petition on your behalf before your OPT expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that year. You can continue working in your Machine Learning Research role without interruption during this period. USCIS issues no separate document for cap-gap, your I-20 noting the cap-gap extension serves as proof of authorized status.
Where can I find Machine Learning Research jobs at E-Verify employers?
Migrate Mate filters job listings specifically for employers enrolled in E-Verify, so you're not wasting applications on companies that can't support your STEM OPT extension. Machine Learning Research roles at qualifying employers span university research divisions, national laboratories, and technology companies with active R&D programs. Searching through Migrate Mate surfaces only employers who meet the E-Verify requirement before you apply.