STEM OPT Data Science Engineer Jobs
Data Science Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months on your F-1 authorization if your employer is enrolled in E-Verify. Your STEM degree in computer science, statistics, or a related field qualifies you for the 24-month extension, giving you real runway to build U.S. experience.
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Get Access To All JobsINTRODUCTION
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.
INTRODUCTION
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.
See all 2,959+ STEM OPT Data Science Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Science Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a DHS-designated STEM field. Data science and computer science degrees typically qualify, but applied mathematics or information systems programs vary by institution and award year.
Confirm E-Verify enrollment before accepting offers
Your employer must be enrolled in E-Verify before your STEM OPT extension start date, not after. Search the E-Verify employer database by company name or EIN to confirm active enrollment before you sign anything.
Research prevailing wages using OFLC Wage Search
Data Science Engineer salaries vary sharply by location and experience level. Pull the prevailing wage for your specific SOC code and metro area using OFLC Wage Search so you can negotiate from a position grounded in DOL wage data.
Target employers with active LCA filing history
Use Migrate Mate to filter Data Science Engineer roles by employers who have filed Labor Condition Applications, which signals both E-Verify enrollment and familiarity with the STEM OPT and H-1B visa process your career path will likely require.
Negotiate your I-983 training plan before your start date
The I-983 must detail specific learning objectives tied to your STEM degree, not just your job description. Bring a draft to the offer stage so your DSO can review it alongside your start date rather than scrambling after you've already begun work.
Time your extension application around the 90-day window
USCIS requires you to file your STEM OPT extension before your initial OPT EAD expires. Apply within the 90-day window that opens before expiration so a timely filing keeps you authorized while USCIS adjudicates.
Frequently Asked Questions
Does a data science or computer science degree qualify for the STEM OPT extension?
Most data science, computer science, statistics, and engineering degrees qualify because they map to DHS-designated CIP codes. Applied mathematics and information systems programs sometimes qualify depending on how your institution coded the award. Confirm your exact CIP code with your DSO before your initial OPT ends, since the designation is tied to the degree on your I-20, not your job title.
What E-Verify requirement applies to Data Science Engineer STEM OPT jobs?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension period begins. Enrollment after your start date does not satisfy the requirement. You can verify a company's enrollment status by searching the E-Verify employer database by company name or EIN. If the employer isn't listed, your DSO cannot approve the I-983 training plan and your extension will be at risk.
What goes into the I-983 training plan for a Data Science Engineer role?
The I-983 must connect your specific work activities to the STEM field of your degree. For a Data Science Engineer role, that means detailing the models you'll build, the data pipelines you'll own, and the engineering methods you'll apply, alongside measurable learning objectives. Generic job descriptions aren't sufficient. Your employer's HR or engineering lead signs the plan, and your DSO must approve it before USCIS adjudicates the extension.
How does cap-gap protection work if I'm a Data Science Engineer on STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. You can continue working as a Data Science Engineer during this bridge period without a new EAD. USCIS provides guidance on cap-gap eligibility and documentation requirements.
Where can I find Data Science Engineer jobs where the employer is already set up for STEM OPT?
Migrate Mate filters Data Science Engineer listings by employers with active Labor Condition Application filing history, which indicates both E-Verify enrollment and prior experience sponsoring international candidates. Searching there saves you from spending weeks in a recruiting process only to discover the employer has never hired on OPT and isn't enrolled in E-Verify.