ML Engineer Jobs in California
ML Engineer jobs in California are among the most active in the country, concentrated in AI research, autonomous systems, cloud infrastructure, and consumer technology across entry-level and senior roles. San Francisco, San Jose, and Los Angeles are the largest hiring metros, anchored by major employers like Google, Meta, and Apple. The most in-demand specialties are large language model development, computer vision, and MLOps. Find a role that fits below and apply directly.
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Position Summary
We are building an advanced AI platform that powers next-generation creative workflows for flagship products like Photoshop and Lightroom. As a Senior Machine Learning Engineer (or Applied Scientist), you will combine deep technical expertise with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and vision-language models (VLLMs).
The Opportunity
- (M)LLM post-training and evaluation, including fine-tuning, alignment, and domain adaptation
- Agent system architecture design and implementation at scale
- Practical agent development using frameworks such as LangChain, LangGraph, MCP, and A2A
- Image generation and editing with multimodal AI
- Building and owning rigorous evaluation frameworks for LLM and agent performance
- Lead the development of next-generation AI agents that improve and extend Adobe's product ecosystem
- Drive the architecture and implementation of robust agentic systems that combine reasoning, retrieval, tool use, and multimodal capabilities
- Own end-to-end LLM fine-tuning pipelines — data curation, training, RLHF/DPO alignment, and evaluation
- Design and maintain comprehensive evaluation frameworks to measure agent quality, reliability, and safety
- Implement state-of-the-art LLM techniques for specialized creative applications
- Mentor and grow engineers and scientists across the team; establish technical best practices
- Move fast in an environment where priorities evolve and problems are sometimes loosely defined
What You Need To Succeed
- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field
- 8+ years of industry ML experience
- Demonstrated expertise in LLMs, fine-tuning (SFT, RLHF, DPO, PEFT/LoRA), and agentic system development in production
- Deep experience building evaluation frameworks for LLM and multi-agent systems (LLM-as-judge, automated benchmarks, red-teaming)
- Proficiency in PyTorch and agentic frameworks: LangChain, LangGraph, MCP, Agent Development Kit (ADK)
- Fluency with AI-assisted development tools (e.g. Claude Code, Codex, Cursor) while maintaining independent engineering judgment and critical ownership of technical decisions
- Strong foundation in data structures, algorithms, and software engineering principles
- Excellent problem-solving and communication skills; comfortable operating in fast-moving, ambiguous environments
- Experience with multimodal models (vision-language, image generation/editing) is a strong plus
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 -- $345,650 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $238,700 - $345,650
In New York, the pay range for this position is $238,700 - $345,650
In Massachusetts, the pay range for this position is $207,900 - $301,100
In Washington, the pay range for this position is $223,500 - $323,700
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See All 1,770+ ML Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
ML Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple220

- TikTok82

- Amazon62

- Adobe57

- Capital One51

Top Industries Hiring
- Technology & Software782
- Electronics & Hardware307
- Artificial Intelligence127
- Banking & Financial Services123
- Automotive96
What California Employers Look For
The qualifications that appear most often in ML engineer jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including Google Cloud, AWS, or Microsoft Azure
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Experience collaborating with cross-functional teams on AI product development and iteration
ML Engineer Jobs in California: Frequently Asked Questions
How do you become a ml engineer in California?
ML engineering in California has no state-issued license, so the path runs through education and demonstrated technical skill. Most California employers expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred at top-tier AI and tech companies. Building a public portfolio of projects, contributing to open-source work, and completing a graduate program at a California university such as Stanford, UC Berkeley, or UCLA strengthens candidacy significantly.
Which companies hire ml engineers in California?
Employers hiring ml engineers in California right now include Apple, TikTok, and Amazon, based on current listings on Migrate Mate as of June 2026. California's concentration of technology headquarters, AI research labs, and venture-backed startups means hiring activity is spread across enterprise platforms, autonomous vehicle programs, and consumer AI products.
Which California cities have the most ml engineer jobs?
San Francisco, San Jose, and Cupertino account for the most ml engineer openings in California. The San Francisco Bay Area dominates because of the density of technology headquarters and AI research labs there, while Los Angeles has grown as a hub for entertainment-AI, ad tech, and aerospace applications that increasingly rely on machine learning.
Are there remote ml engineer jobs in California?
Yes, and more than most fields. About 21% of ml engineer openings tied to California are remote or hybrid as of June 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than being on-site. Roles focused on research, data pipeline engineering, and model evaluation tend to be the most remote-friendly.
How can I get hired as a ml engineer in California with little or no experience?
The most realistic entry path is an internship or rotational program at a large California technology company, where candidates often convert to full-time roles. Google, Apple, and Meta all run structured early-career programs for new graduates. Coming from an adjacent role such as data analyst, software engineer, or research assistant gives candidates a practical edge, particularly when paired with a public project portfolio demonstrating model-building skills in Python.
Where can I find and apply to ml engineer jobs in California?
You can find and apply to ml engineer jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Search the available roles, find the ones that fit your background, and apply directly to each employer.
See All 1,770+ ML Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find ML Engineer Jobs