Machine Learning Scientist Visa Sponsorship Jobs in California
California is the top state for machine learning scientist visa sponsorship jobs, anchored by Silicon Valley giants like Google, Meta, Apple, and NVIDIA, as well as research-driven employers across San Francisco, San Jose, Los Angeles, and San Diego. Aerospace, biotech, autonomous vehicles, and enterprise AI firms all compete for this talent.
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Get Access To All JobsINTRODUCTION
Machine Learning Scientist Graduate (Global E-commerce Content Recommendation) - 2026 Start (BS/MS)
LOCATION:
San Jose
EMPLOYMENT TYPE:
Regular
JOB CODE:
A190004B
Responsibilities
Team Introduction
Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.
In today’s content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We’re actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Develop and deploy ML models to power personalized e-commerce recommendations
- Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
- Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
- Focused on scaling, robustness, and production-quality deployment
MINIMUM QUALIFICATIONS
- Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Demonstrated ability to conduct rigorous research and analyze large-scale data
- Strong problem-solving skills and a high sense of ownership
PREFERRED QUALIFICATIONS
- Publications in ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys)
- Experience with recommendation systems, retrieval models, or multi-modal learning
- Familiarity with building and deploying real-time, scalable ML systems in production
- Background in e-commerce or related applied AI research domains
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
COMPENSATION
- Compensation Description (Annually): The base salary range for this position in the selected city is $122574 - $256000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
FOR LOS ANGELES COUNTY (UNINCORPORATED) CANDIDATES:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
ABOUT TIKTOK
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
WHY JOIN US
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
DIVERSITY & INCLUSION
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TIKTOK ACCOMMODATION
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
INTRODUCTION
Machine Learning Scientist Graduate (Global E-commerce Content Recommendation) - 2026 Start (BS/MS)
LOCATION:
San Jose
EMPLOYMENT TYPE:
Regular
JOB CODE:
A190004B
Responsibilities
Team Introduction
Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.
In today’s content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We’re actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Develop and deploy ML models to power personalized e-commerce recommendations
- Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
- Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
- Focused on scaling, robustness, and production-quality deployment
MINIMUM QUALIFICATIONS
- Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Demonstrated ability to conduct rigorous research and analyze large-scale data
- Strong problem-solving skills and a high sense of ownership
PREFERRED QUALIFICATIONS
- Publications in ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys)
- Experience with recommendation systems, retrieval models, or multi-modal learning
- Familiarity with building and deploying real-time, scalable ML systems in production
- Background in e-commerce or related applied AI research domains
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
COMPENSATION
- Compensation Description (Annually): The base salary range for this position in the selected city is $122574 - $256000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
FOR LOS ANGELES COUNTY (UNINCORPORATED) CANDIDATES:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
ABOUT TIKTOK
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
WHY JOIN US
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
DIVERSITY & INCLUSION
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TIKTOK ACCOMMODATION
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Machine Learning Scientist Job Roles in California
See all 446+ Machine Learning Scientist Jobs in California
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Search Machine Learning Scientist Jobs in CaliforniaMachine Learning Scientist Jobs in California: Frequently Asked Questions
Which companies sponsor visas for machine learning scientists in California?
Large technology employers including Google, Meta, Apple, NVIDIA, Microsoft, Amazon, and Salesforce regularly sponsor visas for machine learning scientists at their California offices. Beyond big tech, companies in autonomous vehicles (Waymo, Cruise), biotech (Genentech, Illumina), and enterprise AI (Databricks, Scale AI) are also active sponsors. Sponsorship patterns are visible in Department of Labor H-1B disclosure data.
Which visa types are most common for machine learning scientist roles in California?
The H-1B is the most common visa for machine learning scientists in California, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with a master's or PhD may have an advantage in the H-1B lottery under the advanced degree exemption. O-1A visas are another pathway for scientists with demonstrated exceptional ability, such as published research or competitive awards.
Which cities in California have the most machine learning scientist sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Palo Alto, and Sunnyvale, concentrates the largest share of machine learning scientist sponsorship jobs in California. Los Angeles is a growing second hub, driven by entertainment tech, aerospace, and startups. San Diego also has demand, particularly from biotech and defense contractors. Remote roles based at California headquarters still require employer-level sponsorship from those offices.
How to find machine learning scientist visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters machine learning scientist roles in California by employers with a documented history of visa sponsorship. Rather than sifting through thousands of listings manually, you can browse roles where sponsorship is already confirmed, covering positions across the Bay Area, Los Angeles, and San Diego with the visa details you need upfront.
What should machine learning scientists know about California-specific hiring before applying?
California employers sponsoring H-1B workers must file a Labor Condition Application certifying the offered wage meets the prevailing wage for the San Francisco, Los Angeles, or San Diego metropolitan area, which tend to be among the highest prevailing wages in the country. Many California employers actively recruit from Stanford, UC Berkeley, UCLA, and Caltech, so candidates with research connections to those universities may have a stronger pipeline into sponsored roles.
What is the prevailing wage for sponsored machine learning scientist 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 machine learning scientist employers are hiring and sponsoring visas in California right now.
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