AI Data Engineer Jobs at Microsoft with Visa Sponsorship
AI Data Engineer roles at Microsoft sit at the intersection of large-scale data infrastructure and applied AI, covering pipelines, model training data, and platform engineering. Microsoft sponsors multiple visa types for this function, and its established immigration program makes it one of the more accessible paths for international candidates in this space.
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We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.
In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:
- Develop novel data collection strategies
- Improve dataset quality and integrity
- Understand data-driven model behaviors
- Align datasets with ethical and societal values
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
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!
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.
Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
- Embody our culture and values.
Qualifications Required Qualifications:
- Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
-
- OR equivalent experience.
Preferred Qualifications:
- Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
-
- OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
-
- OR equivalent experience.
- 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
- Ability to communicate technical findings clearly to research and product teams.
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. Find additional benefits and pay information here:
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. Find additional benefits and pay information here:
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
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.
In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:
- Develop novel data collection strategies
- Improve dataset quality and integrity
- Understand data-driven model behaviors
- Align datasets with ethical and societal values
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
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!
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.
Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
- Embody our culture and values.
Qualifications Required Qualifications:
- Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
-
- OR equivalent experience.
Preferred Qualifications:
- Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
-
- OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
-
- OR equivalent experience.
- 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
- Ability to communicate technical findings clearly to research and product teams.
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. Find additional benefits and pay information here:
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. Find additional benefits and pay information here:
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.
See all 153+ AI Data Engineer at Microsoft jobs
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Microsoft Jobs
Align your portfolio to Azure ecosystems
Microsoft's AI data engineering work runs heavily on Azure. Before applying, make sure your resume and portfolio reflect hands-on experience with Azure Data Factory, Synapse, or Databricks. Generic cloud experience is harder to defend in technical screens.
Target roles flagged for immigration support
Not every Microsoft AI Data Engineer posting gets the same immigration treatment. Filter job listings by teams actively building out AI infrastructure, where headcount pressure creates stronger sponsorship intent and faster offer timelines.
Verify your credential equivalency before interviews
Microsoft's recruiting process for H-1B or E-3 requires a qualifying specialty occupation degree. If your bachelor's is a three-year Australian degree or a non-U.S. credential, get a credential evaluation from a NACES-approved agency before you reach the offer stage.
Negotiate timing around H-1B cap and fiscal year
If you need a cap-subject H-1B, USCIS registration opens in March for October 1 start dates. Microsoft's immigration team knows this calendar well, so aligning your offer acceptance to allow petition filing before the registration window closes protects your start date.
Use Migrate Mate to surface active AI Data Engineer openings at Microsoft
Sponsorship-flagged roles at large employers fill quickly and aren't always visible through general job boards. Use Migrate Mate to filter for AI Data Engineer positions at Microsoft that are open to visa sponsorship candidates, so you're applying to live roles with confirmed sponsorship.
Clarify E-3 or H-1B1 eligibility before the offer
Australian and Singapore or Chilean nationals can use the E-3 or H-1B1 pathways, which sit outside the general H-1B lottery. Raising your nationality and eligibility early with Microsoft's recruiter lets their immigration team route your petition correctly from the start.
AI Data Engineer at Microsoft jobs are hiring across the US. Find yours.
Find AI Data Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for AI Data Engineers?
Yes, Microsoft sponsors H-1B visas for AI Data Engineer roles. The role qualifies as a specialty occupation under USCIS guidelines given its degree requirements in computer science, data engineering, or a related field. Microsoft's immigration team handles the Labor Condition Application filing with DOL and the subsequent I-129 petition with USCIS, so the administrative process is managed on your behalf once you have an offer.
How do I apply for AI Data Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, but roles that are open to visa sponsorship aren't always clearly labeled. The most practical approach is to use Migrate Mate, which filters for AI Data Engineer openings at Microsoft with confirmed sponsorship availability. From there, tailor your application to highlight experience with large-scale data pipelines, ML infrastructure, and Azure-native tooling, which are the areas Microsoft's hiring teams screen for most consistently.
Which visa types does Microsoft commonly use for AI Data Engineers?
Microsoft sponsors H-1B, E-3, H-1B1, and Green Card pathways including EB-2 and EB-3 for AI Data Engineer roles. Australian citizens can use the E-3, which has no lottery. Singapore and Chilean nationals are eligible for the H-1B1. For everyone else, the cap-subject H-1B is the standard nonimmigrant path, with employer-sponsored permanent residency available through PERM-based EB-3 or EB-2 classification depending on the role's requirements.
What qualifications does Microsoft expect for AI Data Engineer roles?
Microsoft's AI Data Engineer roles typically require a bachelor's or master's degree in computer science, data engineering, or a closely related field. Practical experience with distributed systems, data pipeline architecture, and ML platform tools carries significant weight. Familiarity with Azure services is a strong differentiator. For visa purposes, your degree must align with the specialty occupation definition USCIS applies to the specific role, so the field of study matters beyond just the degree level.
How do I understand the timeline for getting sponsored by Microsoft?
For cap-subject H-1B, the USCIS registration window opens in March and the earliest start date is October 1 of the same year. E-3 and H-1B1 petitions can be filed year-round with no cap, which allows faster timelines. Microsoft's immigration team typically begins the Labor Condition Application process with DOL shortly after offer acceptance. From LCA certification to visa interview or change of status approval, expect a process spanning several weeks to a few months depending on the pathway.
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