Machine Learning Jobs at Microsoft with Visa Sponsorship
Microsoft builds some of its most ambitious AI and machine learning systems across Azure, Office, and research divisions, and the company has a well-established track record of sponsoring work visas for qualified ML engineers and scientists. If you're an international candidate, Microsoft actively sponsors across multiple visa categories for this function.
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As a Member of Technical Staff - Machine Learning (AI Team), you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Leverage subject matter expertise to improve model quality for interactive and agentive experiences.
- Oversee data acquisition or generation efforts, ensuring that the data meets the model needs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API.
- Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
- Independently write efficient, readable, extensible code and model pipelines.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
- OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
- OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
- Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
- 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Overview
As a Member of Technical Staff - Machine Learning (AI Team), you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Leverage subject matter expertise to improve model quality for interactive and agentive experiences.
- Oversee data acquisition or generation efforts, ensuring that the data meets the model needs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API.
- Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
- Independently write efficient, readable, extensible code and model pipelines.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
- OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
- OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
- Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
- 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
See all 67+ Machine Learning at Microsoft jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning at Microsoft roles.
Get Access To All JobsTips for Finding Machine Learning Jobs at Microsoft Jobs
Align your portfolio to Azure AI products
Microsoft's ML hiring is heavily oriented around Azure Machine Learning, Responsible AI, and Copilot infrastructure. Tailor your GitHub projects and published work to reflect experience with large-scale distributed training, MLOps, or foundation model fine-tuning before you apply.
Target teams that file LCAs early
Microsoft files Labor Condition Applications with the DOL before extending offers. Roles in Azure AI, Microsoft Research, and Bing rank among the earliest to move through the pipeline, so engaging those recruiters in the fall gives you the best shot ahead of H-1B registration in March.
Prepare documentation showing specialty occupation fit
USCIS scrutinizes whether ML roles qualify as specialty occupations. Come prepared with evidence that your specific role requires a degree in computer science, statistics, or a directly related field, not just broad engineering experience.
Use Migrate Mate to filter open ML roles by sponsorship type
Microsoft posts ML openings across multiple teams simultaneously, making it hard to identify which roles are actively sponsoring your visa category. Use Migrate Mate to filter Microsoft's open positions by the visa type relevant to your citizenship and employment authorization.
Account for H-1B cap timing in your start date negotiation
If you need a cap-subject H-1B, USCIS lottery registration runs in March and approved petitions can't start employment before October 1. Negotiate your offer start date with this window in mind so both you and Microsoft have realistic expectations.
Machine Learning at Microsoft jobs are hiring across the US. Find yours.
Find Machine Learning at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for Machine Learning roles?
Yes, Microsoft sponsors H-1B visas for Machine Learning engineers and scientists. Roles in teams like Azure AI, Microsoft Research, and Bing have historically moved through the sponsorship process, with Microsoft filing the Labor Condition Application with the DOL and submitting the I-129 petition to USCIS on your behalf. Cap-subject candidates must go through the annual lottery, while cap-exempt scenarios may allow earlier start dates.
How do I apply for Machine Learning jobs at Microsoft?
Apply directly through Microsoft's careers site, filtering by role type and team. For ML positions, applications are typically reviewed by a recruiter before a technical screen covering machine learning fundamentals, system design, and coding. You can also browse Microsoft's open ML roles filtered by visa sponsorship type on Migrate Mate, which makes it easier to identify positions aligned with your specific work authorization needs.
Which visa types does Microsoft commonly sponsor for Machine Learning roles?
Microsoft sponsors H-1B visas for most international ML hires, along with E-3 visas for Australian citizens and H-1B1 visas for citizens of Chile and Singapore. For permanent residency, Microsoft supports EB-2 and EB-3 Green Card pathways, including the PERM labor certification process. The visa type offered to you depends on your citizenship, current status, and the specific role's classification.
What qualifications does Microsoft expect for Machine Learning positions?
Most ML roles at Microsoft require a bachelor's degree at minimum in computer science, statistics, applied mathematics, or a closely related technical field, with graduate degrees preferred for research-oriented positions. Practical experience with large-scale model training, cloud infrastructure like Azure, and ML frameworks such as PyTorch or TensorFlow carries significant weight. USCIS requires the role to qualify as a specialty occupation, so your degree field must directly relate to the position.
How do I plan my timeline if I need H-1B sponsorship from Microsoft?
H-1B registration opens in March each year and is subject to a lottery. If selected, USCIS processes the I-129 petition over several months, and employment cannot start before October 1. That means targeting Microsoft offers in the January to February window gives you time to secure an offer before registration closes. If you're on OPT, confirm your expiration date and whether you qualify for a 24-month STEM extension to bridge any gap.
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