Data Science Engineer Jobs at Microsoft with Visa Sponsorship
Data Science Engineer jobs at Microsoft span cloud infrastructure, AI research, and enterprise analytics, with visa sponsorship available for qualified candidates. If you hold a relevant advanced degree and specialized technical skills, Microsoft has established pathways to support your visa from offer through long-term status.
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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.
Role
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.
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: https://careers.microsoft.com/us/en/us-corporate-pay
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: 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, read more about requesting accommodations.
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.
Role
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.
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: https://careers.microsoft.com/us/en/us-corporate-pay
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: 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, read more about requesting accommodations.
See all Data Science Engineer Jobs at Microsoft
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Microsoft
Align Your Degree to Microsoft's Specialty Occupation Standard
USCIS requires a direct relationship between your degree field and the Data Science Engineer role. Microsoft's petitions typically cite computer science, statistics, or applied mathematics as qualifying fields, so document that alignment precisely in your credentials before applying.
Target Teams Hiring Through Microsoft's Internal Transfers
Microsoft frequently moves existing H-1B holders across business units using amended petitions rather than new filings. If you're already in the U.S. on any work visa, flagging internal transfer eligibility during recruiting can accelerate your timeline considerably.
Search Verified Sponsoring Roles on Migrate Mate
Filter for Data Science Engineer openings at Microsoft that are confirmed to sponsor your specific visa type. Migrate Mate surfaces roles by visa category so you avoid applying to positions that won't support your status.
Prepare for Microsoft's Technical Loop Before Visa Conversations
Microsoft's hiring process runs machine learning system design and coding interviews well before any recruiter discusses sponsorship. Having your portfolio of production ML work, published research, or large-scale data pipeline projects ready strengthens both your candidacy and any future O-1 visa or EB-1 case.
Understand How Microsoft Files Your Labor Condition Application
DOL requires Microsoft to certify prevailing wage compliance through an LCA before USCIS receives your H-1B petition. Confirm with your assigned immigration contact that the LCA wage level reflects your specific role location, since Microsoft's offices span multiple wage-tier metropolitan areas.
Use Cap-Exempt Status If Joining a Microsoft Research Collaboration
Certain roles embedded in nonprofit or university partnerships through Microsoft Research may qualify for cap-exempt H-1B filings, bypassing the annual lottery. Ask your recruiter explicitly whether the position is affiliated with a qualifying institution during the offer stage.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Data Science Engineers?
Yes, Microsoft sponsors H-1B visas for Data Science Engineers and has done so consistently across its product, research, and cloud divisions. The company covers government filing fees and partners with immigration counsel to manage the petition process. If you're subject to the H-1B cap, your offer timing will need to align with the annual lottery registration window, which USCIS opens each March.
Which visa types does Microsoft commonly use for Data Science Engineer roles?
Microsoft sponsors H-1B visas most frequently for Data Science Engineers, but also files E-3 visa petitions for Australian citizens and H-1B1 visa petitions for candidates from Singapore and Chile. For senior or principal-level hires with distinguished research records, Microsoft's immigration team may initiate EB-1 or EB-2 National Interest Waiver green card sponsorship alongside or following the initial work visa.
How do I apply for Data Science Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where roles are listed by team and location. You can also browse open Data Science Engineer positions at Microsoft filtered by visa sponsorship type on Migrate Mate, which helps you identify postings confirmed to support your specific status. Before applying, prepare a portfolio demonstrating large-scale ML systems work, since Microsoft's technical screen is competency-heavy and evaluates production experience directly.
What qualifications does Microsoft expect for Data Science Engineer positions?
Microsoft's Data Science Engineer roles typically require a bachelor's or master's degree in computer science, statistics, applied mathematics, or a closely related field. Hands-on experience building and deploying machine learning models at scale, proficiency in Python or Scala, and familiarity with distributed data platforms such as Azure Synapse or Spark are standard expectations. Research publications or contributions to open-source ML frameworks strengthen senior-level applications.
How do I understand the visa filing timeline after receiving a Microsoft offer?
For H-1B cap-subject candidates, USCIS registration typically opens in March and employment cannot begin before October 1 of that fiscal year, so your start date will reflect that gap. Microsoft's immigration team initiates the LCA with DOL first, which takes roughly seven to ten business days, then files the I-129 petition with USCIS. Premium processing is available and reduces USCIS adjudication to about fifteen business days if your start date requires faster confirmation.