Senior Data Science Engineer Visa Sponsorship Jobs in California
Senior data science engineer visa sponsorship jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, Apple, and Salesforce regularly hire international candidates. California's dominance in AI, machine learning, and cloud infrastructure makes it one of the most active states for sponsored roles at this seniority level.
See All Senior Data Science Engineer JobsOverview
Showing 5 of 1,375+ Senior Data Science Engineer Jobs in California with Visa Sponsorship jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 1,375+ Senior Data Science Engineer Jobs in California with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Data Science Engineer Jobs in California with Visa Sponsorship.
Get Access To All Jobs
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.
Senior Data Science Engineer Job Roles in California
See all 1,375+ Senior Data Science Engineer Jobs in California
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Senior Data Science Engineer Jobs in CaliforniaSenior Data Science Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in California?
Large technology employers are the most consistent sponsors for senior data science engineers in California. Companies like Google, Apple, Meta, Amazon Web Services, and Salesforce have extensive H-1B filing histories in this role category. Beyond big tech, biotech firms in the Bay Area and San Diego, including Genentech and Illumina, also sponsor senior data science engineering positions with regularity.
Which visa types are most common for senior data science engineer roles in California?
The H-1B is the most common visa for senior data science engineers in California, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or engineering. Candidates already authorized to work may also see employers use the O-1A for those with extraordinary ability, or TN visas for Canadian and Mexican nationals in qualifying engineering classifications.
Which cities in California have the most senior data science engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and Sunnyvale, concentrates the largest share of senior data science engineer sponsorship jobs in California due to the density of technology headquarters there. Los Angeles is a secondary hub, driven by entertainment technology, fintech, and aerospace data roles. San Diego has a growing cluster tied to biotech and defense sector data science work.
How to find senior data science engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for senior data science engineer roles in California without sorting through employers who do not sponsor. You can filter by location and seniority level to focus on Bay Area, Los Angeles, or San Diego postings from companies with active sponsorship histories in this role category.
Are there state-specific considerations for senior data science engineers seeking sponsorship in California?
California employers filing H-1B petitions must meet Department of Labor prevailing wage requirements for the specific metropolitan statistical area where the role is based, and Bay Area prevailing wages for senior data science engineers are among the highest in the country. California's large university system, including UC Berkeley, Stanford, and UCLA, creates a strong local pipeline that international candidates compete within, so demonstrating seniority-level experience is especially important when pursuing sponsorship in this state.
What is the prevailing wage for sponsored senior data science engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which senior data science engineer employers are hiring and sponsoring visas in California right now.
Search Senior Data Science Engineer Jobs in California