Senior ML Engineer Jobs in California
Senior ML Engineer jobs in California are among the most active in the country, concentrated in technology, cloud infrastructure, autonomous systems, and biotech across a seniority range from mid-level engineers through distinguished principal roles. The largest hiring metros are the San Francisco Bay Area, Los Angeles, and San Diego, where employers such as Google, Apple, and Qualcomm maintain deep and ongoing ML engineering teams. The most in-demand specialties right now are large language model fine-tuning, MLOps and model deployment, and computer vision. Find a role that fits below and apply directly.
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San Jose
Team
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Technology
Employment Type
:
Regular
Job Code
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A41505
Responsibilities
About the Role
ByteDance’s Dev Infra team is looking for talented Machine Learning Engineers to join our Dev AI initiative. Our mission is to build intelligent systems that transform how engineers design, develop, test, debug, and maintain software at scale.
In this role, you will work at the intersection of machine learning, large language models, code intelligence, and developer infrastructure. You will develop and improve AI systems for code generation, automated testing, debugging, code understanding, and agentic software engineering, with the goal of significantly improving developer productivity across ByteDance.
Responsibilities:
- Develop and improve machine learning and large language model systems for software engineering tasks, including code generation, unit test generation, and debugging.
- Build AI-powered developer agents and intelligent workflows that can reason over large codebases, interact with development environments and tools, execute multi-step engineering tasks, and assist engineers throughout the software development lifecycle.
- Improve model and agent performance through prompt engineering, context engineering, retrieval, fine-tuning, reinforcement learning, tool-use design, and agent harness engineering.
- Build high-quality training and evaluation data pipelines for software engineering tasks, including data collection, filtering, synthesis, labeling, and hard-example mining.
- Explore and apply advances in large language models, code intelligence, program analysis, reinforcement learning, and autonomous software engineering to real-world developer productivity problems at scale.
Minimum Qualifications:
- Bachelor’s degree or above in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
- 5+ years of relevant industry or research experience in machine learning, large language models, code intelligence, AI-powered developer tools, or related areas.
- Strong programming skills in one or more languages such as Python, Go, Java, C++, JavaScript, or TypeScript.
- Solid understanding of data structures, algorithms, machine learning, operating systems, databases, and fundamental system design principles.
- Experience owning complex machine learning projects end-to-end, from problem formulation and data construction to model development, evaluation, deployment, and production iteration.
- Strong system design and engineering skills, with experience building scalable, reliable, and efficient machine learning systems or AI-powered applications.
- Strong communication and collaboration skills, with the ability to drive complex technical projects across teams.
- Experience building or leading AI systems for software engineering, including code generation, coding agents, unit test generation, debugging, or code review.
- Deep experience with large language models and one or more model improvement or post-training techniques, such as supervised fine-tuning, reinforcement learning, preference optimization, prompt engineering, context engineering, retrieval, or model evaluation.
- Experience designing and improving agentic systems, including tool-using LLMs, coding agents, agent harnesses, MCP, agent skills, planning, memory, or multi-step execution workflows.
- Experience building large-scale training data, evaluation datasets, benchmarks, or experimentation pipelines for machine learning or code intelligence systems.
- Strong understanding of software engineering and code intelligence techniques such as program analysis, compilers, static analysis, code search, repository indexing, testing, and debugging.
- Publications, patents, open-source contributions, or demonstrated technical leadership in machine learning, large language models, code intelligence, developer tools, or AI for software engineering.
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $218400 - $480000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About Us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
See All 896+ Senior ML Engineer Jobs in California
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Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Senior ML Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple149

- TikTok91

- ByteDance25

- Adobe24

- Amazon Web Services21

Top Industries Hiring
- Technology & Software164
- Electronics & Hardware92
- Banking & Financial Services27
- Automotive18
- Biotechnology & Pharmaceuticals18
What California Employers Look For
The qualifications that appear most often in senior ML engineer 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 PyTorch or TensorFlow
- Demonstrated experience designing and shipping production ML systems at scale
- Familiarity with cloud ML infrastructure on AWS, Google Cloud, or Azure
- Experience with MLOps tooling including experiment tracking, model versioning, and deployment pipelines
- Strong background in one or more specialty areas such as NLP, computer vision, or recommendation systems
Senior ML Engineer Jobs in California: Frequently Asked Questions
How do you become a senior ml engineer in California?
Becoming a senior ml engineer in California typically requires a bachelor's or master's degree in computer science, applied mathematics, or a closely related field, followed by several years of hands-on experience building and deploying ML systems. California employers expect a portfolio of shipped production work alongside proficiency in frameworks like PyTorch or TensorFlow. No state-issued license applies to this role, so advancement comes through demonstrated technical depth and, increasingly, specialization in areas like LLMs or MLOps.
How much do senior ML engineers make in California?
Senior ML engineers in California earn a median of about $134,440 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $58,340 for the lowest 10% to over $222,690 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in California?
Employers hiring senior ml engineers in California right now include Apple, TikTok, and ByteDance, based on current listings on Migrate Mate as of September 2026. California's concentration of major technology headquarters, defense contractors, and life-sciences companies makes it one of the densest senior-level ML hiring markets in the world.
Which California cities have the most senior ml engineer jobs?
San Jose, San Francisco, and Cupertino have the most senior ml engineer openings in California. The Bay Area leads because of the density of major tech headquarters and venture-backed AI startups headquartered there, while Los Angeles is driven by media-tech, fintech, and aerospace employers, and San Diego draws demand from its large defense and biotech sectors.
Are there remote senior ml engineer jobs in California?
Yes, and more than most fields. About 47% of senior ml engineer openings tied to California are remote or hybrid as of September 2026, reflecting how naturally the work translates to distributed environments. Research, modeling, and experimentation phases are most commonly fully remote, while roles involving on-premise compute clusters or embedded systems teams tend to require regular on-site presence.
How can I get hired as a senior ml engineer in California with little or no experience?
The most realistic entry path is through a machine learning or data science internship or a junior data scientist role at a California technology company, then building toward ML engineering responsibilities over time. Large California employers such as Google, Meta, and Salesforce run structured early-career programs and rotational engineering tracks that accept candidates from master's programs. Building a public project portfolio on GitHub featuring end-to-end model training and deployment is the credential that most consistently moves candidates from adjacent roles like data analyst or software engineer into ML engineering.
Where can I find and apply to senior ml engineer jobs in California?
You can find and apply to senior ml engineer jobs in California on Migrate Mate, which lists current California openings across industries and metros. Find roles that match your experience and specialty, then apply directly through each listing.
See All 896+ Senior ML Engineer Jobs in California
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Find Senior ML Engineer Jobs