Technology H-1B1 Singapore Sponsorship Jobs in California
H-1B1 Singapore visa sponsorship technology jobs in California are concentrated in Silicon Valley, San Francisco, and San Diego, where companies like Apple, Google, Salesforce, and Qualcomm regularly file Labor Condition Applications for software engineers, data scientists, and systems architects. Singapore nationals benefit from the H-1B1's dedicated annual allocation and no lottery requirement.
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Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on half on half aggressive revenue targets in a predictable fashion. The ideal candidate will bring hands-on experience in driving product and program growth through machine learning (ML) technologies, with a proven track record of leading AI-powered projects that span across modeling teams and require close collaboration with infrastructure teams. They will have a strong background in building and growing teams and have a comprehensive understanding of the full machine learning lifecycle—from raw data to features and modeling to training, inference, and debugging. Adept in navigating ambiguity and competing priorities, the candidate will thrive in an entrepreneurial, fast-paced environment. They will have a keen ability to sift through complex information, distill key insights, and up-level critical data to drive informed decision-making at all levels. They are not only skilled at leading teams and developing high-level strategic initiatives but are also hands-on, capable of rolling up their sleeves and executing the details to ensure successful program delivery.
ROLE AND RESPONSIBILITIES:
- Define and lead technical execution strategy for multiple product and platform areas
- Articulate the technology, requirements, goals, and milestones of your team
- Work with engineering and product management leadership to define and revise the long-term strategy for the organization
- Work with the team to develop end-to-end program plans, influence teams to deliver against them, and keep the org and leadership informed on progress
- Manage, mentor, and grow the existing product technical program management teams
- Drive internal process improvements across multiple teams and functions
- Work with teams to set milestones, communicate program statuses, and identify/address potential setbacks
- Work with engineering to ensure the team’s work focuses on the highest priority partner team and customer needs
- Work across organizations to align plans, manage dependencies, drive execution, and deliver broad solutions
- Build and scale the organization to support multiple fast-paced product categories
- Responsible for people management - hiring, developing, and implementing organizational structure, delivering performance reviews, providing continual feedback, coaching and career growth
MINIMUM QUALIFICATIONS:
- 15+ years of software industry experience, including systems engineering, hardware engineering, or technical product/program management experience
- 10+ years of people management experience leading teams to deliver technical programs or products from inception to delivery
- Proven communication skills
- Proven interpersonal skills, including relationship building and collaboration within a multi-disciplinary, cross-functional team
- Experience building, growing, and leading a technical program management organization through design and execution of large infrastructure, tools and applications
- Experience in growing organizations and developing a team culture
- Knowledge of software development processes and ML and AI technologies
- Analytical and problem-solving experience with large-scale systems
PREFERRED QUALIFICATIONS:
- Experience in scaling large platform and system growth
- Experience with online Advertising technologies, applications, and systems
- Experience with using AI, ML, and Generative AI to build solutions
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $245,000/year to $309,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on half on half aggressive revenue targets in a predictable fashion. The ideal candidate will bring hands-on experience in driving product and program growth through machine learning (ML) technologies, with a proven track record of leading AI-powered projects that span across modeling teams and require close collaboration with infrastructure teams. They will have a strong background in building and growing teams and have a comprehensive understanding of the full machine learning lifecycle—from raw data to features and modeling to training, inference, and debugging. Adept in navigating ambiguity and competing priorities, the candidate will thrive in an entrepreneurial, fast-paced environment. They will have a keen ability to sift through complex information, distill key insights, and up-level critical data to drive informed decision-making at all levels. They are not only skilled at leading teams and developing high-level strategic initiatives but are also hands-on, capable of rolling up their sleeves and executing the details to ensure successful program delivery.
ROLE AND RESPONSIBILITIES:
- Define and lead technical execution strategy for multiple product and platform areas
- Articulate the technology, requirements, goals, and milestones of your team
- Work with engineering and product management leadership to define and revise the long-term strategy for the organization
- Work with the team to develop end-to-end program plans, influence teams to deliver against them, and keep the org and leadership informed on progress
- Manage, mentor, and grow the existing product technical program management teams
- Drive internal process improvements across multiple teams and functions
- Work with teams to set milestones, communicate program statuses, and identify/address potential setbacks
- Work with engineering to ensure the team’s work focuses on the highest priority partner team and customer needs
- Work across organizations to align plans, manage dependencies, drive execution, and deliver broad solutions
- Build and scale the organization to support multiple fast-paced product categories
- Responsible for people management - hiring, developing, and implementing organizational structure, delivering performance reviews, providing continual feedback, coaching and career growth
MINIMUM QUALIFICATIONS:
- 15+ years of software industry experience, including systems engineering, hardware engineering, or technical product/program management experience
- 10+ years of people management experience leading teams to deliver technical programs or products from inception to delivery
- Proven communication skills
- Proven interpersonal skills, including relationship building and collaboration within a multi-disciplinary, cross-functional team
- Experience building, growing, and leading a technical program management organization through design and execution of large infrastructure, tools and applications
- Experience in growing organizations and developing a team culture
- Knowledge of software development processes and ML and AI technologies
- Analytical and problem-solving experience with large-scale systems
PREFERRED QUALIFICATIONS:
- Experience in scaling large platform and system growth
- Experience with online Advertising technologies, applications, and systems
- Experience with using AI, ML, and Generative AI to build solutions
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $245,000/year to $309,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
H-1B1 Singapore Technology Job Roles in California
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Search Technology Jobs in CaliforniaTechnology H-1B1 Singapore Sponsorship Jobs in California: Frequently Asked Questions
Which technology companies sponsor H-1B1 Singapore visas in California?
California's largest technology employers, including Apple, Google, Meta, Salesforce, Oracle, Nvidia, and Qualcomm, have consistent H-1B1 visa Labor Condition Application filing histories. Mid-size software and semiconductor firms in Silicon Valley and San Diego also sponsor regularly. You can verify which specific employers have filed LCAs for Singapore nationals by searching OFLC disclosure data filtered by visa type.
Which cities in California have the most technology H-1B1 Singapore sponsorship jobs?
San Jose, San Francisco, Mountain View, Sunnyvale, and Santa Clara collectively account for the majority of California's technology H-1B1 Singapore LCA filings, driven by the density of enterprise software, cloud infrastructure, and semiconductor employers in the Bay Area. San Diego is a secondary hub, particularly for wireless technology, biotech-adjacent software, and defense-sector engineering roles.
What types of technology roles typically qualify for H-1B1 Singapore sponsorship?
Roles that require at least a bachelor's degree in a directly related field qualify as specialty occupations under the H-1B1 visa. In California's technology sector, this commonly includes software engineers, machine learning engineers, data scientists, cloud architects, cybersecurity analysts, and product managers with technical degree backgrounds. Generalist roles where any degree field is acceptable typically do not meet the specialty occupation standard.
How do I find technology H-1B1 Singapore sponsorship jobs in California?
Migrate Mate surfaces California technology roles at employers with verified H-1B1 visa LCA filing history, so you can focus on companies that have actively sponsored Singapore nationals rather than applying broadly. Filter by state and visa type to see current openings matched to H-1B1 eligibility. Confirming LCA history before applying significantly narrows your search to employers already familiar with the H-1B1 process.
Are there any California-specific considerations for H-1B1 Singapore sponsorship in technology?
California employers must post the certified LCA at the worksite for ten consecutive business days and comply with state labor law alongside federal DOL requirements. California's prevailing wage obligations can exceed federal OFLC Wage Search levels in high-cost metros like San Francisco and San Jose, so employers typically conduct their own wage analysis before filing. Some California technology firms also require E-Verify enrollment for sponsored roles.
What is the prevailing wage for H-1B1 Singapore technology 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.