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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Position Summary:
Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets. You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing.
PRIMARY RESPONSIBILITIES:
- Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features
- Develop multimodal AI architectures that integrate H&E whole-slide imaging data with molecular and clinical data sources
- Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)
- Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
- Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
- Analyze model outputs to generate reproducible biological and clinical insights
- Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders
QUALIFICATIONS
- PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI
- Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics
- Hands-on expertise with PyTorch and strong production-level programming skills in Python
- Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning
- Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)
- Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows
- Experience adapting pre-trained foundation models for downstream biomedical applications
PREFERRED QUALIFICATIONS:
- Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks
- Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays
- Hands-on experience with digital pathology software and whole-slide imaging analysis
- Exposure to survival modeling, longitudinal prediction, or time-to-event modeling
- Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data
- Domain knowledge in oncology, biomarker discovery, or clinical precision medicine
- Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
Machine Learning Scientist Job Roles 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 visa 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.