Data Science Engineer Jobs for OPT Students
Data Science Engineer jobs are among the most OPT-friendly roles in tech, with strong demand from employers experienced in sponsoring F-1 students. Most positions qualify for the 24-month STEM OPT extension, giving you up to three years of total work authorization to build your U.S. career.
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As part of the work on machine-generated dialog we are developing novel measurements of its quality. These include cutting-edge llm-judges for aspects like groundedness (lack of hallucinations), Siri Tone and Style (a suite of Design requirements), Safety, and others.
Description
To measure our progress on this front, we need to track the state of our dataset composition, accuracy of llm-judges, human expert review results in a central and visual representation. A DRI for Metrics and Reporting will:
- Build an easy to use dashboard for our datasets - requires integration with other teams
- Build dashboards to visualize our status
- Help define useful metrics
- Build tools to facilitate processing of human review results (inter-annotator agreement, storage, selection of the most useful data points for human expert review)
- Build tools and pipelines to streamline quality measurement processes
Minimum Qualifications
M.S. or Ph.D. in Computer Science, Data Science, Data Engineering
3+ years in data-science and/or data-engineering (iceberg, pandas python, Tableau or equivalent, data collection and visualization)
2+ years of python coding
Good understanding of metrics, crowd science, annotation analysis, statistics
Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines
Excellent communication skills and the ability to thrive in a highly collaborative work environment
Good engineering practices to create sustainable and easy to use metric reporting pipelines
Preferred Qualifications
Experience with writing and architecting production level code
Deep understanding of Machine Learning concepts
Experience in Model training and/or evaluation
Good engineering practices to create sustainable and easy to use metric reporting pipelines
Attunement to computational linguistics, language quality is a plus
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

As part of the work on machine-generated dialog we are developing novel measurements of its quality. These include cutting-edge llm-judges for aspects like groundedness (lack of hallucinations), Siri Tone and Style (a suite of Design requirements), Safety, and others.
Description
To measure our progress on this front, we need to track the state of our dataset composition, accuracy of llm-judges, human expert review results in a central and visual representation. A DRI for Metrics and Reporting will:
- Build an easy to use dashboard for our datasets - requires integration with other teams
- Build dashboards to visualize our status
- Help define useful metrics
- Build tools to facilitate processing of human review results (inter-annotator agreement, storage, selection of the most useful data points for human expert review)
- Build tools and pipelines to streamline quality measurement processes
Minimum Qualifications
M.S. or Ph.D. in Computer Science, Data Science, Data Engineering
3+ years in data-science and/or data-engineering (iceberg, pandas python, Tableau or equivalent, data collection and visualization)
2+ years of python coding
Good understanding of metrics, crowd science, annotation analysis, statistics
Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines
Excellent communication skills and the ability to thrive in a highly collaborative work environment
Good engineering practices to create sustainable and easy to use metric reporting pipelines
Preferred Qualifications
Experience with writing and architecting production level code
Deep understanding of Machine Learning concepts
Experience in Model training and/or evaluation
Good engineering practices to create sustainable and easy to use metric reporting pipelines
Attunement to computational linguistics, language quality is a plus
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
How to Get Visa Sponsorship as a Data Science Engineer
Confirm your role qualifies for STEM OPT extension
Data Science Engineer roles typically fall under CIP codes 11.0401 or 27.0301. Verify your degree field matches an approved STEM designation before accepting an offer, since your 24-month extension depends entirely on that alignment.
Raise OPT early, not after the offer
Bring up your work authorization status before the final interview round. Framing it as a logistical detail rather than a request reduces friction and signals professionalism. Most data teams at mid-to-large companies have handled this before.
Lead with your technical skills, not your visa status
Hiring managers evaluate data engineers on Python, SQL, ML pipelines, and cloud platforms first. A strong technical profile shifts the sponsorship question from a risk to a straightforward administrative step worth taking for the right candidate.
Document your training plan thoroughly for STEM OPT
Your employer must sign a formal training plan connecting your Data Science Engineer duties to your degree field. Be specific about the skills, tools, and projects involved. A vague plan increases the risk of a DSO rejection.
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Get Access To All JobsFrequently Asked Questions
Can I work as a Data Science Engineer on OPT?
Yes, provided your job duties are directly related to your degree field. Data Science Engineer roles typically qualify when your degree is in computer science, statistics, data science, or a related STEM discipline. The connection between your coursework and your day-to-day responsibilities must be documentable, as your DSO will review it when issuing your EAD.
Do Data Science Engineer jobs qualify for the 24-month STEM OPT extension?
Most do, but qualification depends on your degree, not just your job title. Your degree must appear on the STEM OPT designated degree list, and your employer must be enrolled in E-Verify. CIP codes commonly associated with data engineering degrees, such as computer science and applied mathematics, are typically on that list. Confirm with your DSO before accepting an offer.
How early should I apply for Data Science Engineer jobs on OPT?
Start your search at least three to four months before your OPT start date. Hiring timelines for data engineering roles at established companies often run six to eight weeks from first interview to offer. Factoring in EAD processing time, which currently averages three to five months, applying early keeps your authorization and your start date aligned.
Where can I find Data Science Engineer jobs that sponsor OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters for employers with a history of sponsoring international candidates. Browsing on Migrate Mate saves significant time compared to sifting through general job listings where sponsorship willingness is unclear or buried in fine print.
What happens to my Data Science Engineer job if my H-1B isn't selected in the lottery?
If you exhaust your STEM OPT period and the H-1B lottery does not select you, your work authorization ends and you must stop working. Some employers in the data space offer alternative visa pathways, such as the O-1A for candidates with strong publication or competition records, or transfer to a Canadian office while reapplying. Discussing contingency options with your employer before your OPT expires is worth doing proactively.
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