AI ML Engineer Jobs at Microsoft with Visa Sponsorship
Microsoft builds AI ML Engineer roles around applied research and production systems, from large language models to Azure-native infrastructure. The company has a well-established immigration program that handles H-1B, E-3, and Green Card sponsorship, making it one of the more accessible paths for international engineers in this field.
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Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. As part of the Systems Planning and Architecture (SPARC) group, you will contribute to research and exploration in advanced machine learning (ML) systems, focusing on the numeric, data types, and compute technologies that drive the next generation of Artificial Intelligence (AI) workloads at Azure scale. You will collaborate across Azure teams to investigate cutting-edge approaches in model efficiency ranging from low-precision formats, quantization strategies, and ML kernel development, to benchmarking and analyzing emerging model architecture and hardware capabilities. As a Research Intern, you will be at the forefront of innovation in cloud-scale AI, helping shape how Microsoft designs and deploys efficient and performant ML infrastructure. Your work will directly inform decisions around compute platforms, acceleration strategies, and system-level optimizations that influence internal silicon efforts, software runtimes, and partnerships across the industry. You will play a critical role in evaluating, prototyping, and analyzing new algorithmic and numerical techniques that improve the performance, cost, and efficiency of training and inference for large-scale models. This Research Internship offers opportunities to develop expertise in ML systems, emerging data types, kernel optimization, and performance modeling while gaining hands-on experience with the latest Azure AI and hardware technologies. Microsoft’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.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications
Required Qualifications
- Currently enrolled in a master’s, or PhD program in Computer Science, Electrical Engineering, or a related STEM field.
- Completed at least 2 academic courses or projects involving machine learning systems.
- At least 3 years of experience programming in Python, C++, or a similar systems-oriented language through work, projects, or research.
Other Requirements
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
Preferred Qualifications
- Demonstrable Contribution to open-source ML framework or ML systems software.
- Deep and strong understanding of transformer-based model architectures, including attention mechanisms, KV cache behavior, and common training and inference bottlenecks.
- Experience with modern ML frameworks and runtimes such as PyTorch, Hugging Face Transformers, SGLang, vLLM, or TensorRT-LLM.
- Experience with GPU or accelerator programming using CUDA, Triton, or similar tools, and familiarity with profiling and performance analysis.
- Familiarity with benchmarking and performance profiling tools for ML workloads.
- Working knowledge of low-precision numeric, quantization methods, or hardware–software co-design considerations for large-scale model efficiency is a plus.
- Coursework, research, or project experience in areas such as ML systems, model optimization, kernel development, or numerical computing.
- Proficient analytical and problem-solving skills, with an interest in ML systems and computational performance.
Compensation
- The base pay range for this internship is USD $5,610 - $11,010 per month. 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 $7,270 - $12,030 per month.
- The base pay range for this internship is USD $6,710 - $13,270 per month. Certain roles may be eligible for benefits and other compensation.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. 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
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. As part of the Systems Planning and Architecture (SPARC) group, you will contribute to research and exploration in advanced machine learning (ML) systems, focusing on the numeric, data types, and compute technologies that drive the next generation of Artificial Intelligence (AI) workloads at Azure scale. You will collaborate across Azure teams to investigate cutting-edge approaches in model efficiency ranging from low-precision formats, quantization strategies, and ML kernel development, to benchmarking and analyzing emerging model architecture and hardware capabilities. As a Research Intern, you will be at the forefront of innovation in cloud-scale AI, helping shape how Microsoft designs and deploys efficient and performant ML infrastructure. Your work will directly inform decisions around compute platforms, acceleration strategies, and system-level optimizations that influence internal silicon efforts, software runtimes, and partnerships across the industry. You will play a critical role in evaluating, prototyping, and analyzing new algorithmic and numerical techniques that improve the performance, cost, and efficiency of training and inference for large-scale models. This Research Internship offers opportunities to develop expertise in ML systems, emerging data types, kernel optimization, and performance modeling while gaining hands-on experience with the latest Azure AI and hardware technologies. Microsoft’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.
Responsibilities
Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.
Qualifications
Required Qualifications
- Currently enrolled in a master’s, or PhD program in Computer Science, Electrical Engineering, or a related STEM field.
- Completed at least 2 academic courses or projects involving machine learning systems.
- At least 3 years of experience programming in Python, C++, or a similar systems-oriented language through work, projects, or research.
Other Requirements
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
Preferred Qualifications
- Demonstrable Contribution to open-source ML framework or ML systems software.
- Deep and strong understanding of transformer-based model architectures, including attention mechanisms, KV cache behavior, and common training and inference bottlenecks.
- Experience with modern ML frameworks and runtimes such as PyTorch, Hugging Face Transformers, SGLang, vLLM, or TensorRT-LLM.
- Experience with GPU or accelerator programming using CUDA, Triton, or similar tools, and familiarity with profiling and performance analysis.
- Familiarity with benchmarking and performance profiling tools for ML workloads.
- Working knowledge of low-precision numeric, quantization methods, or hardware–software co-design considerations for large-scale model efficiency is a plus.
- Coursework, research, or project experience in areas such as ML systems, model optimization, kernel development, or numerical computing.
- Proficient analytical and problem-solving skills, with an interest in ML systems and computational performance.
Compensation
- The base pay range for this internship is USD $5,610 - $11,010 per month. 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 $7,270 - $12,030 per month.
- The base pay range for this internship is USD $6,710 - $13,270 per month. Certain roles may be eligible for benefits and other compensation.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. 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.
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at Microsoft Jobs
Align your portfolio to Azure AI product areas
Microsoft's AI ML hiring clusters around Azure OpenAI, Copilot, and Responsible AI teams. Tailor your GitHub portfolio and project descriptions to reflect Azure-native tools, transformer-based architectures, or RLHF pipelines before applying.
Document your ML specialization for LCA purposes
The DOL Labor Condition Application requires a precise job title and specialty occupation classification. Roles blending software engineering and ML research can face scrutiny, so your resume and offer letter should consistently reflect the same specialized function.
Use Migrate Mate to filter verified Microsoft AI ML openings
Finding roles that explicitly include sponsorship eligibility takes time. Migrate Mate filters Microsoft AI ML Engineer jobs by visa type, so you're applying to positions where your immigration situation is already accounted for.
Prepare for PERM timing if pursuing a Green Card
Microsoft typically initiates EB-2 or EB-3 PERM labor certification after your first or second year. Understanding the DOL audit risk for AI roles, where prevailing wage benchmarks for specialized ML positions shift frequently, helps you plan your tenure expectations realistically.
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Find AI ML Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for AI ML Engineers?
Yes, Microsoft sponsors H-1B visas for AI ML Engineer roles. The company files petitions through the standard USCIS cap-subject lottery each April, with an October 1 start date, and also files for cap-exempt situations where applicable. Australian citizens may qualify for the E-3 visa instead, which bypasses the lottery entirely and is available year-round.
How do I apply for AI ML Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where AI ML Engineer roles are listed by product area, including Azure AI, Copilot, and research divisions. You can also browse verified Microsoft AI ML openings filtered by visa type on Migrate Mate, which helps you identify roles where sponsorship has been confirmed before you apply.
Which visa types does Microsoft commonly use for AI ML Engineer roles?
Microsoft sponsors H-1B for most international hires, E-3 for Australian citizens, and H-1B1 for Chilean and Singaporean nationals. For permanent residency, the company typically pursues EB-2 National Interest Waiver or EB-3 PERM labor certification pathways, with the EB-2 route being more common for ML engineers with advanced degrees or specialized research backgrounds.
What qualifications does Microsoft expect for AI ML Engineer roles?
Most openings require a bachelor's degree in computer science, mathematics, or a closely related field, though many teams prefer a master's or PhD for research-adjacent roles. Practical experience with large-scale model training, PyTorch or TensorFlow, distributed systems, and cloud infrastructure, particularly Azure, carries significant weight. Publications or open-source contributions in ML are frequently noted in senior-level postings.
How long does the visa sponsorship process take for Microsoft AI ML roles?
For H-1B cap-subject petitions, the process runs April through September, with work authorization starting October 1. USCIS premium processing can shorten the adjudication window to 15 business days. E-3 applicants typically complete consular processing in Australia within two to four weeks after the employer secures a certified Labor Condition Application from DOL.
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