AI ML Engineering Jobs at Microsoft with Visa Sponsorship
AI ML Engineering roles at Microsoft span research, product, and infrastructure teams building large-scale models, Azure AI services, and Copilot integrations. Microsoft has a well-established sponsorship process for this function, covering both nonimmigrant work visas and permanent residence pathways for qualified engineers.
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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 Engineering Jobs at Microsoft Jobs
Align your credentials to Microsoft's specialty occupation standard
Microsoft's immigration team files H-1B petitions under the specialty occupation standard, so your degree field must directly map to the AI ML Engineering role. A degree in computer science, statistics, or a closely related field strengthens your petition far more than a general engineering background.
Target teams where green card pipelines are active
Microsoft runs PERM labor certification for AI ML engineers on sponsored teams, but not uniformly across all divisions. Roles within Azure AI, Microsoft Research, and Copilot product teams have historically moved engineers into EB-2 and EB-3 pipelines faster than newer or smaller internal groups.
Use Migrate Mate to filter open AI ML Engineering roles by visa type
Not every Microsoft job posting signals sponsorship eligibility upfront. Migrate Mate lets you filter AI ML Engineering openings at Microsoft by the visa types the company actively supports, so you're applying to roles where sponsorship is genuinely on the table.
Prepare for technical interviews before discussing sponsorship
Microsoft's hiring loop for AI ML Engineering runs multiple rounds covering machine learning fundamentals, system design for ML infrastructure, and coding. Recruiters treat sponsorship as an administrative step handled after a hire decision, so your technical performance determines the outcome, not your visa status.
Understand how Microsoft handles H-1B cap timing
If you're not currently in H-1B status, your start date depends on the annual cap lottery. USCIS opens registration in March, with an October 1 start date if selected. Microsoft accounts for this in offer timing, but you and your recruiter need to confirm your current status early in the process.
Get your LCA details confirmed before signing your offer
DOL requires Microsoft to file a Labor Condition Application before your H-1B petition is submitted. Confirm with your Microsoft immigration contact which wage level the LCA will use for your specific role and location, since Level I and Level II designations affect both your petition and your prevailing wage compliance.
AI ML Engineering at Microsoft jobs are hiring across the US. Find yours.
Find AI ML Engineering at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for AI ML Engineers?
Yes, Microsoft sponsors H-1B visas for AI ML Engineering roles. The process involves Microsoft filing a Labor Condition Application with the DOL and then submitting an H-1B petition to USCIS on your behalf. If you're subject to the annual cap, your start date will typically be October 1 following a successful lottery registration in March.
How do I apply for AI ML Engineering jobs at Microsoft?
Applications go through Microsoft's careers portal at careers.microsoft.com. Search for AI, ML, or machine learning engineering roles and apply directly. You can also browse and filter open AI ML Engineering positions at Microsoft by visa sponsorship type on Migrate Mate, which makes it easier to confirm sponsorship eligibility before you invest time in the application process.
Which visa types does Microsoft commonly sponsor for AI ML Engineering roles?
Microsoft sponsors H-1B, E-3 (for Australian citizens), and H-1B1 (for Chilean and Singaporean nationals) for AI ML Engineering positions. For permanent residence, Microsoft supports EB-2 and EB-3 petitions through PERM labor certification. The pathway offered depends on your nationality, current immigration status, and which team you're joining.
What qualifications does Microsoft expect for AI ML Engineering roles?
Most AI ML Engineering roles at Microsoft require a bachelor's degree at minimum in computer science, mathematics, or a related technical field, with a master's or PhD preferred for research-adjacent positions. Practical experience with large language models, distributed training systems, or ML infrastructure on cloud platforms like Azure is weighted heavily in the hiring loop alongside strong fundamentals in Python, PyTorch, or similar frameworks.
How long does the visa sponsorship process take after receiving a Microsoft offer?
If you're transferring from another H-1B employer, Microsoft can file a cap-exempt petition and you can start relatively quickly, sometimes within weeks. For cap-subject cases, you'll wait for the annual USCIS lottery in March and an October 1 start date. PERM for a Green Card typically begins after you've been employed at Microsoft for a period, and the full process from PERM filing to approval can span one to several years depending on your country of birth.
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