AI ML Engineering Jobs in California
AI ML Engineering jobs in California are among the most active in the country, with demand concentrated in tech, semiconductors, healthcare AI, autonomous systems, and enterprise software at every level from junior to principal engineer. San Francisco, San Jose, and Los Angeles are the largest hiring metros, where companies like Google, Apple, and Meta maintain major AI and machine learning research and product teams. The most in-demand specialties are large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
Find AI ML Engineering JobsOverview
Showing 4 of 47+ AI ML Engineering jobs
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Salary:
$170,000.00 - $234,000.00Location:
Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .
Key Responsibilities:
Applied Materials’ Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist to join our growing organization. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.
This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.:
Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.
Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership
Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories
Requirements
Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Can work collaboratively with cross-functional teams.
Hands-on experience with:
Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)
Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow.
MLOps, including model deployment, versioning and performance monitoring in production environments
Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Excellent analytical and problem-solving abilities, Machine Learning Concepts
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.
Interpersonal Skills
- Communicates difficult concepts and negotiates with others to adopt a different point of view
Location
Santa Clara, CA; on-site full-time
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Who We Are
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Salary:
$170,000.00 - $234,000.00Location:
Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .
Key Responsibilities:
Applied Materials’ Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist to join our growing organization. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning.
This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.:
Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.
Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership
Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories
Requirements
Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Can work collaboratively with cross-functional teams.
Hands-on experience with:
Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)
Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow.
MLOps, including model deployment, versioning and performance monitoring in production environments
Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Excellent analytical and problem-solving abilities, Machine Learning Concepts
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.
Interpersonal Skills
- Communicates difficult concepts and negotiates with others to adopt a different point of view
Location
Santa Clara, CA; on-site full-time
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
See All 47 AI ML Engineering Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in California
Where California roles are concentrated, by current openings.
AI ML Engineering Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Electronics & Hardware
- Automotive
- Technology & Software
- Investment & Asset Management
What California Employers Look For
The qualifications that appear most often in AI ML engineering jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models at production scale
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Strong foundation in linear algebra, probability, statistics, and algorithmic problem solving
- Demonstrated experience with MLOps tooling, experiment tracking, and model monitoring pipelines
AI ML Engineering Jobs in California: Frequently Asked Questions
How do you become a ai ml engineering in California?
The most direct path is a bachelor's or master's degree in computer science, data science, or a related field, followed by hands-on project work that demonstrates model building and deployment. California has no state-issued license for this role, so hiring decisions hinge on technical portfolios, GitHub repositories, and practical experience. Many California employers, especially in the Bay Area, also weigh contributions to open-source ML projects and relevant research publications heavily.
Which companies hire ai ml engineerings in California?
Employers hiring ai ml engineerings in California right now include General Motors, Amazon Web Services, and Apple, based on current listings on Migrate Mate as of September 2026. California's concentration of semiconductor firms, autonomous vehicle companies, and large-scale consumer technology platforms means demand runs across a broader range of industries than in most other states.
Which California cities have the most ai ml engineering jobs?
San Francisco, Cupertino, and Mountain View have the most ai ml engineering openings in California. The Bay Area dominates because it is home to the headquarters and major research campuses of the world's largest technology companies, while Los Angeles draws demand from entertainment AI, aerospace, and a growing startup ecosystem anchored by firms in Santa Monica and Culver City.
Are there remote ai ml engineering jobs in California?
Yes, and more than most fields. About 67% of ai ml engineering openings tied to California are remote or hybrid as of September 2026, reflecting the desk-based and collaborative-tool-driven nature of the work. Model research, data pipeline development, and experimentation phases tend to be the most remote-compatible parts of the role, while on-site work is more common when teams are integrating models into hardware or real-time production systems.
How can I get hired as a ai ml engineering in California with little or no experience?
The most realistic entry path is through an internship or new-grad rotational program at a California technology company, where roles like ML intern, junior data scientist, or AI research assistant serve as direct feeders. Companies such as Google, Apple, and NVIDIA run structured new-graduate programs for candidates without prior industry experience. Building a portfolio of end-to-end ML projects and earning certifications from cloud providers gives candidates a concrete edge when competing for those first openings.
Where can I find and apply to ai ml engineering jobs in California?
You can find and apply to ai ml engineering jobs in California on Migrate Mate, which lists current openings tied to California employers and locations. Find the roles that fit your experience and target area and apply directly through each listing.
See All 47 AI ML Engineering Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs