Machine Learning Researcher Visa Sponsorship Jobs in Massachusetts
Machine learning researcher jobs in Massachusetts draw sponsorship from institutions like MIT, Harvard, and industry leaders such as Google, Microsoft, and Broad Institute, concentrated in Cambridge, Boston, and the Route 128 corridor. Employers across biotech, robotics, and AI research regularly file H-1B visa petitions for this specialty occupation role.
Find Machine Learning Researcher JobsOverview
Showing 5 of 28+ Machine Learning Researcher Jobs in Massachusetts with Visa Sponsorship
See all Machine Learning Researcher Jobs in Massachusetts with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Researcher Jobs in Massachusetts with Visa Sponsorship.
Get Access To All JobsSUMMARY
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
DESCRIPTION
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
MINIMUM QUALIFICATIONS
- BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
- Experience in academic or industry research.
- Experience working with Pytorch.
PREFERRED QUALIFICATIONS
- MS or PhD in Computer Science, Electrical Engineering, or a related field with 10+ years of relevant industry experience.
- Strong foundation in deep learning theory and hands-on experience training large-scale models.
- Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
- Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
- Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
- Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
- Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
- Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
COMPENSATION
- Base pay range for this role is between $165,800 and $249,500, 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
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
DESCRIPTION
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
MINIMUM QUALIFICATIONS
- BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
- Experience in academic or industry research.
- Experience working with Pytorch.
PREFERRED QUALIFICATIONS
- MS or PhD in Computer Science, Electrical Engineering, or a related field with 10+ years of relevant industry experience.
- Strong foundation in deep learning theory and hands-on experience training large-scale models.
- Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
- Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
- Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
- Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
- Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
- Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
COMPENSATION
- Base pay range for this role is between $165,800 and $249,500, 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.
Machine Learning Researcher Job Roles in Massachusetts
See all Machine Learning Researcher Jobs in Massachusetts
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Researcher Jobs in MassachusettsMachine Learning Researcher Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for machine learning researchers in Massachusetts?
Major H-1B sponsors for machine learning researchers in Massachusetts include Google, Microsoft, Amazon, and Meta, all with significant Cambridge or Boston offices, alongside research-intensive employers like MIT Lincoln Laboratory, Broad Institute, iRobot, and Wayfair. Biotechnology companies such as Genentech and Moderna also sponsor machine learning researchers to support computational biology and drug discovery work. DOL LCA disclosure data confirms active filing histories across these employers.
Which visa types realistically fit machine learning researcher roles in Massachusetts?
Machine learning researcher roles qualify as specialty occupations, making the H-1B the most common path. Australian nationals can pursue the E-3 visa, and Chilean and Singaporean nationals have access to the H-1B1 visa, both of which also cover specialty occupations. F-1 students with STEM-designated degrees can use OPT and, with an E-Verify enrolled employer, the 24-month STEM OPT extension. Longer-term, EB-2 or EB-3 employer-sponsored green cards are common for established researchers.
Which cities in Massachusetts have the most machine learning researcher sponsorship jobs?
Cambridge is the densest market, anchored by MIT, Harvard, and their surrounding research spin-offs. Boston's Seaport and Kendall Square neighborhoods host major technology and biotech employers filing LCA petitions for this role. Waltham and Burlington along the Route 128 corridor are secondary hubs, with established research and development campuses from companies such as Raytheon Technologies, Analog Devices, and various AI-focused startups.
How to find machine learning researcher visa sponsorship jobs in Massachusetts?
Migrate Mate lists Massachusetts employers with verified H-1B and other visa sponsorship filing histories for machine learning researcher roles, letting you search specifically within the state rather than sorting through unverified postings. Because Migrate Mate surfaces DOL-confirmed sponsorship data, you can identify Cambridge and Boston employers that have actively filed for this role rather than relying on employer self-reporting in job descriptions.
Are there state-specific factors that affect machine learning researcher sponsorship in Massachusetts?
Massachusetts has an unusually high concentration of research universities and federally funded laboratories, which means many machine learning researcher roles are at institutions with established immigration infrastructure and experienced international hiring processes. The J-1 visa exchange visitor program is also active in this state through university-designated sponsor organizations, particularly for postdoctoral researchers. The density of AI and biotech startups in Cambridge means some smaller employers may be filing H-1B petitions for the first time, so verifying an employer's prior sponsorship history is worthwhile.
What is the prevailing wage for sponsored machine learning researcher jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.