AI ML Engineer Jobs in California
AI ML Engineer jobs in California represent one of the most active and competitive markets in the country, with demand concentrated in technology, biotech, financial services, and autonomous systems across seniority levels from entry-level data scientists to principal engineers and research scientists. The largest hiring metros are San Francisco, San Jose, and Los Angeles, where established employers such as Google, Apple, and Meta maintain significant engineering operations. The most sought-after specialties in California listings include large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
Find AI ML Engineer JobsOverview
Showing 5 of 94+ AI ML Engineer jobs
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
What you get to do in this role:
Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success
Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling
Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines
Qualifications
To be successful in this role you have:
12+ year of relevant industry experience
Hands-on experience building distributed Voice AI systems with a large operational scale
4+ years building LLM-based applications (integrating models, not training)
4+ years of development experience with Python, Golang, Java, or similar languages.
2+ years of experience building agents (prompt engineering) and developing LLM-based experiences
Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach.
Experience building software for compliance and security in regulated environments is considered an asset
Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Experience building with AI tools such as Claude Code, Cursor, Windsurf
For positions in this location, we offer a base pay of $181,200 - $317,100 plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
What you get to do in this role:
Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success
Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling
Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines
Qualifications
To be successful in this role you have:
12+ year of relevant industry experience
Hands-on experience building distributed Voice AI systems with a large operational scale
4+ years building LLM-based applications (integrating models, not training)
4+ years of development experience with Python, Golang, Java, or similar languages.
2+ years of experience building agents (prompt engineering) and developing LLM-based experiences
Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach.
Experience building software for compliance and security in regulated environments is considered an asset
Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Experience building with AI tools such as Claude Code, Cursor, Windsurf
For positions in this location, we offer a base pay of $181,200 - $317,100 plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
See All 94 AI ML Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI ML Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Electronics & Hardware
- Automotive
- Insurance
What California Employers Look For
The qualifications that appear most often in AI ML engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for ML workloads
- Strong understanding of statistics, linear algebra, and algorithm design fundamentals
- Experience with MLOps practices including model monitoring, versioning, and CI/CD pipelines
AI ML Engineer Jobs in California: Frequently Asked Questions
How do you become a ai ml engineer in California?
Becoming an ai ml engineer in California typically starts with a bachelor's degree in computer science, data science, statistics, or a related technical field, with many roles preferring or requiring a master's degree. California does not require a state-issued license for this role. Employers across the Bay Area and Los Angeles favor candidates who have built a portfolio of end-to-end machine learning projects, contributed to open-source repositories, or completed graduate research in applied ML.
Which companies hire ai ml engineers in California?
Employers hiring ai ml engineers in California right now include TikTok, ServiceNow, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. California's density of technology headquarters, AI research labs, and biotech firms means the hiring pool is broader here than in nearly any other state.
Which California cities have the most ai ml engineer jobs?
San Francisco, San Jose, and Palo Alto have the most ai ml engineer openings in California. The San Francisco Bay Area dominates because of the concentration of major technology headquarters and AI-focused startups, while Los Angeles draws demand from entertainment technology, aerospace, and a growing base of applied AI companies anchored by firms in the media and defense sectors.
Are there remote ai ml engineer jobs in California?
Yes, and more than most fields. About 61% of ai ml engineer openings tied to California are remote or hybrid as of November 2026, reflecting how much of this work centers on code, model training, and data pipelines that do not require physical presence. Roles in research and model development tend to be the most remote-friendly, while positions requiring integration with hardware, robotics, or on-site data infrastructure are more likely to require in-person work.
How can I get hired as a ai ml engineer in California with little or no experience?
The most realistic entry path is through a university research role or a new-grad program at a large California technology employer, where teams hire associate or junior ML engineers specifically to develop their skills on the job. Companies such as Google, Meta, and Apple run structured new-grad rotations in the Bay Area. Building a public project portfolio on GitHub, completing a master's program at a California university with a strong AI research presence, or transitioning from a software engineering or data analyst role are all concrete steps that California hiring managers treat as credible alternatives to prior ML engineering experience.
Where can I find and apply to ai ml engineer jobs in California?
You can find and apply to ai ml engineer jobs in California on Migrate Mate, which lists current California openings across industries and seniority levels. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
See All 94 AI ML Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs