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Director Machine Learning Jobs in California (NOW HIRING)

Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...

Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...

Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...

Director - Runtime Intelligence & Personalization Overview We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own ...

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

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Director Machine Learning information

See California salary details

$35.5K

$90.7K

$139.2K

How much do director machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for director machine learning in California is $90,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $104,600.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What cities in California are hiring for Director Machine Learning jobs? Cities in California with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in California as of June 2026, with employment types broken down into 81% Full Time, 13% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $90,729 per year, or $43.6 per hour.
Dir, Machine Learning Eng

Dir, Machine Learning Eng

Adobe

San Jose, CA

Other

Posted 8 hours ago


Job description

The Opportunity
We are seeking a highly motivated AI/ML and data leader to lead the evolution of a data platform organization into a world where the AI/ML innovation needs to be supported and to influence/fuel the capabilities within the data platform itself. As and AI/ML leader in the Adobe Experience Platform you will be responsible for instilling the intelligence needed in the data lakehouse, data modeling and compute core platform capabilities to enable innovation in the application layers around simplifying and automating interaction with and management of the digital marketing tools to help our customers to easy work towards accomplishing their business goals. All this innovation in the AI space must happen within a well defined trust framework which will ensure that AI-driven decisions are happening in a governed and responsible manner, thus the expectation is for you to both align with these constraints and to help evolving the trust framework to support the ever-increasing needs around supporting the AI use-cases.
What You'll Do
  • Technical Leadership: Lead a team of applied scientists and data / systems engineers in designing, building and maintaining core capabilities with Adobe Experience Platform focused on big-data management (petabytes) and compute abstractions (Spark, Kubernetes, etc)
  • Strategic Leadership: Drive the transformation of a data engineering group toward a world where AI/ML is an integral part and heavily influencing the innovation in the data engineering space. Provide strong leadership to the engineering team, fostering a culture of collaboration, innovation, and continuous improvement.
  • Define and Maintain the best Data, ML and Engineering practices: Drive technical excellence, operational maturity, and code quality within your team. Up-to-date with any emerging trends to adjust the organization to always utilize the best Data, ML and Engineering practices.
  • Talent Scouting and Training: Attract, recruit, hire, and develop a high-performing group with the right mix of skills to support the AI/ML, data and operational excellence needs
What You Need To Succeed
  • Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space
  • Ability to lead and inspire a team, excellent interpersonal skills, and the capacity to communicate complex machine learning concepts and their influence / impact on the data space clearly and effectively to stakeholders at all levels.
  • A deep understanding of machine learning models, frameworks, and algorithms, with hands-on experience in model development, deployment, and optimization complemented with a good understanding of the big data technologies and challenges.
  • Strategic thinking capabilities, with a proven track record of leveraging AI to solve complex business challenges and drive growth.
  • Passionate about the ethical and responsible use of AI/ML, ensuring solutions meet the highest standards of transparency and fairness.
  • Typically requires a Master's degree in applied machine learning, artificial intelligence, or data science. A PhD is preferred.

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 $206,400 -- $384,675 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 $265,700 - $384,675
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.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982