AI Researcher Jobs at Microsoft with Visa Sponsorship
AI Researcher jobs at Microsoft focus on long-term, foundational work where researchers publish, prototype, and influence product direction. The company has a well-established immigration infrastructure and sponsors multiple visa categories, making it a realistic target for international candidates pursuing research-focused roles.
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Microsoft Research (MSR) AI Frontiers is inviting applications for a Senior Researcher to join our team.
At MSR AI Frontiers, we pursue ambitious research to advance AI in areas such as modeling, algorithms, agents, and agentic systems. We foster a vibrant environment for multidisciplinary work with an open publication policy, close ties to leading academic institutions, and a commitment to impact beyond research. We regularly release open-source models, libraries, and tools to accelerate community progress, while also working within Microsoft’s ecosystem to ship AI technologies across multiple products, ensuring our innovations create real-world value for people.
We are seeking exceptional candidates to advance the state-of-the-art in agentic systems and ecosystems. Relevant projects from our lab include agentic systems (e.g., Magentic-UI, Magentic-One), ecosystems (e.g., Magentic Marketplace), frameworks (e.g., AutoGen), models (e.g., Phi, Orca) and tools (e.g., AgentInstruct, AutoGen Studio).
Focus areas for this position include, but are not limited to, the following:
- Agentic Systems. Building state-of-the-art agentic systems, applications, and environments.
- Agent Ecosystems. Building agent-native ecosystems (e.g., frontier firms, agentic markets) where agents can effectively collaborate alongside people and other agents.
- Advanced Agentic Capabilities. Post-training models for advanced agentic capabilities, including reinforcement learning, fine-tuning, self-play, and synthetic data generation.
- Human-Agent Interaction. Creating novel human-agent interaction techniques and experiences.
- Evaluation & Tooling. Developing evaluation benchmarks, methods, and tooling for agentic capabilities.
- Responsible AI. Ensuring agents operate safely and responsibly while delivering real value to people.
As a Senior Researcher on our team, you will work hands-on on challenging and impactful projects. You will apply your strong technical skills and expertise to build practical solutions to real-world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.
Responsibilities
- Outcome Driven Innovation - The ability to strategically recognize and address unmet needs in industry or knowledge and to create novel, practical, and effective solutions to these unmet needs. This involves the ability to work backwards in research and development, focusing more heavily on the problem to lead to a solution rather than creating something highly original but lacking in application potential.
- Collaborative Innovation - Knowledge of others' expertise and the ability to involve multiple players (within and outside the organization) in the creation or development of novel products, processes, or research streams.
- Problem Solving - The ability to identify problems and review related information to develop and evaluate options and implement solutions.
- Decision Making - The ability to make decisions in a fast-paced, rapidly changing environment. This includes the ability to define, diagnose, and determine an appropriate resolution, recommendation, or decision while considering alternatives and factors (e.g., resources, costs, tradeoffs).
- Scientific Method - Knowledge of and the ability to use an empirical method of acquiring knowledge. This involves careful observation, applying rigorous skepticism about what is observed, formulating a question or hypothesis, testing the hypothesis through experimentation, drawing conclusions, reporting results, and evaluating the process and retesting the hypothesis.
Qualifications
Required Qualifications:
- Doctorate (or currently pursuing) in Computer Science or related fields
- OR equivalent experience
Preferred Qualifications:
- Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS.
- Doctorate in Computer Science or relevant field AND 2 years related research experience
- OR equivalent experience.
- Hands-on experience working with large foundation models (e.g., OpenAI GPT models, LLAMA etc) and state-of-the-art AI/ML frameworks and toolkits (e.g., Pytorch, Tensorflow, Langchain, AutoGen).
- Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies. Providing a link to GitHub profile (if available) and/or code samples, is highly encouraged.
- Hands-on experience evaluating AI models or systems (e.g., running benchmark experiments or user studies, analyzing data).
- Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills.
- Reference letters are welcomed, though they are not mandatory. Please include them if available.
Compensation
- 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. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Overview
Microsoft Research (MSR) AI Frontiers is inviting applications for a Senior Researcher to join our team.
At MSR AI Frontiers, we pursue ambitious research to advance AI in areas such as modeling, algorithms, agents, and agentic systems. We foster a vibrant environment for multidisciplinary work with an open publication policy, close ties to leading academic institutions, and a commitment to impact beyond research. We regularly release open-source models, libraries, and tools to accelerate community progress, while also working within Microsoft’s ecosystem to ship AI technologies across multiple products, ensuring our innovations create real-world value for people.
We are seeking exceptional candidates to advance the state-of-the-art in agentic systems and ecosystems. Relevant projects from our lab include agentic systems (e.g., Magentic-UI, Magentic-One), ecosystems (e.g., Magentic Marketplace), frameworks (e.g., AutoGen), models (e.g., Phi, Orca) and tools (e.g., AgentInstruct, AutoGen Studio).
Focus areas for this position include, but are not limited to, the following:
- Agentic Systems. Building state-of-the-art agentic systems, applications, and environments.
- Agent Ecosystems. Building agent-native ecosystems (e.g., frontier firms, agentic markets) where agents can effectively collaborate alongside people and other agents.
- Advanced Agentic Capabilities. Post-training models for advanced agentic capabilities, including reinforcement learning, fine-tuning, self-play, and synthetic data generation.
- Human-Agent Interaction. Creating novel human-agent interaction techniques and experiences.
- Evaluation & Tooling. Developing evaluation benchmarks, methods, and tooling for agentic capabilities.
- Responsible AI. Ensuring agents operate safely and responsibly while delivering real value to people.
As a Senior Researcher on our team, you will work hands-on on challenging and impactful projects. You will apply your strong technical skills and expertise to build practical solutions to real-world problems. Additionally, you will collaborate closely with other researchers and engineers across the company to amplify your impact and grow your career in a supportive and stimulating environment.
Responsibilities
- Outcome Driven Innovation - The ability to strategically recognize and address unmet needs in industry or knowledge and to create novel, practical, and effective solutions to these unmet needs. This involves the ability to work backwards in research and development, focusing more heavily on the problem to lead to a solution rather than creating something highly original but lacking in application potential.
- Collaborative Innovation - Knowledge of others' expertise and the ability to involve multiple players (within and outside the organization) in the creation or development of novel products, processes, or research streams.
- Problem Solving - The ability to identify problems and review related information to develop and evaluate options and implement solutions.
- Decision Making - The ability to make decisions in a fast-paced, rapidly changing environment. This includes the ability to define, diagnose, and determine an appropriate resolution, recommendation, or decision while considering alternatives and factors (e.g., resources, costs, tradeoffs).
- Scientific Method - Knowledge of and the ability to use an empirical method of acquiring knowledge. This involves careful observation, applying rigorous skepticism about what is observed, formulating a question or hypothesis, testing the hypothesis through experimentation, drawing conclusions, reporting results, and evaluating the process and retesting the hypothesis.
Qualifications
Required Qualifications:
- Doctorate (or currently pursuing) in Computer Science or related fields
- OR equivalent experience
Preferred Qualifications:
- Publication record as a lead author or essential contributor at top venues such as: CHI, NeurIPS, UIST, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, ICAPS.
- Doctorate in Computer Science or relevant field AND 2 years related research experience
- OR equivalent experience.
- Hands-on experience working with large foundation models (e.g., OpenAI GPT models, LLAMA etc) and state-of-the-art AI/ML frameworks and toolkits (e.g., Pytorch, Tensorflow, Langchain, AutoGen).
- Demonstrated software engineering experience building and deploying prototypes, applications, or open-source technologies. Providing a link to GitHub profile (if available) and/or code samples, is highly encouraged.
- Hands-on experience evaluating AI models or systems (e.g., running benchmark experiments or user studies, analyzing data).
- Experience working in multi-disciplinary teams along with a team player mindset, characterized by effective communication, collaboration, and feedback skills.
- Reference letters are welcomed, though they are not mandatory. Please include them if available.
Compensation
- 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. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Tips for Finding AI Researcher Jobs at Microsoft
Align your research profile to Microsoft priorities
Microsoft AI Research publishes heavily in areas like foundation models, responsible AI, and multimodal systems. Before applying, make sure your publications, GitHub contributions, or thesis work map to an active MSR lab focus, not just AI broadly.
Target the right internal team early
Microsoft Research and the Azure AI division hire AI Researchers under different mandates. MSR roles are closer to academic research, while product teams expect deployment-ready work. Identifying this distinction before outreach shapes your application materials significantly.
Prepare credentials for specialty occupation documentation
For H-1B petitions, USCIS evaluates whether the role qualifies as a specialty occupation. For AI Researcher positions, gather transcripts, degree equivalency evaluations if your credential is from outside the U.S., and documentation linking your specific degree field to the research scope.
Understand how Microsoft handles H-1B lottery timing
Microsoft files H-1B registrations in March for an October 1 start. If you receive an offer in, say, November, you may wait nearly a year before your status activates. Confirm with your recruiter whether the offer is contingent on lottery selection or if a cap-exempt path applies.
Use Migrate Mate to filter open AI Researcher roles at Microsoft
Not all Microsoft AI Researcher postings are visa-eligible or matched to active sponsorship pathways. Use Migrate Mate to filter current openings by visa type so you can focus your applications on positions where sponsorship is confirmed.
Ask recruiting about E-3 or H-1B1 eligibility before accepting
If you hold Australian or Chilean or Singaporean citizenship, E-3 and H-1B1 visas sit outside the H-1B cap and can be filed year-round. Raise this with Microsoft's immigration team during the offer stage, since it can shorten your start timeline substantially.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for AI Researchers?
Yes, Microsoft sponsors H-1B visas for AI Researcher roles. The company participates in the annual H-1B lottery, files petitions through its internal immigration team, and works with outside counsel on specialty occupation documentation. Researchers with a master's or Ph.D. in a directly relevant field are well-positioned, since the advanced degree exemption pool provides an additional lottery draw.
How do I apply for AI Researcher jobs at Microsoft?
Applications go through Microsoft's careers portal at careers.microsoft.com. AI Researcher roles are posted under Microsoft Research, Azure AI, and various product divisions, so searching broadly across those teams is worth doing. Tailoring your CV to highlight publications, research contributions, and technical depth specific to the team's focus area is expected at this level. You can also browse current openings on Migrate Mate, which filters for visa-sponsored positions specifically.
Which visa types does Microsoft commonly use for AI Researcher roles?
Microsoft uses H-1B most frequently for AI Researchers, along with H-1B1 visa for eligible Chilean and Singaporean nationals and E-3 visa for Australian citizens. For longer-term sponsorship, Microsoft also supports EB-2 and EB-3 Green Card petitions, often self-sponsoring researchers once they've established tenure at the company. The appropriate pathway depends on your nationality, degree level, and the specific role.
What qualifications does Microsoft expect for AI Researcher roles?
Most AI Researcher positions at Microsoft require a Ph.D. in computer science, machine learning, statistics, or a closely related field, though some applied research roles accept a master's degree with substantial research output. A publication record at venues like NeurIPS, ICML, ICLR, or ACL is a strong signal. For visa purposes, the degree must align specifically with the technical scope of the role, which USCIS scrutinizes during H-1B adjudication.
How do I handle the timeline between an offer and my start date as an international AI Researcher?
If your offer requires H-1B sponsorship and you're subject to the cap, expect a gap between your offer date and October 1 start. Microsoft's immigration team typically initiates the process shortly after offer acceptance. If you're already on OPT or STEM OPT, you can start earlier while your petition is pending. For cap-exempt pathways like E-3 or H-1B1 visa, processing moves faster since there's no lottery and petitions can be filed year-round.