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Machine Learning Engineer Manager Jobs in California

Machine Learning Engineer

San Jose, CA · On-site

$150 - $200/hr

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

$150 - $200/hr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Manage inputs gathered from unusual sources, including captures from software defined radio (SDR ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

... manage payments, and make smarter investment decisions across the creator economy. Our mission is ... Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ...

The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Showing results 41-60

Machine Learning Engineer Manager information

What is a machine learning engineer manager?

Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.

What are the main challenges machine learning engineer managers face when leading teams?

Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.

What are the key skills and qualifications needed to thrive as a machine learning engineer manager, and why are they important?

To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.

What is the difference between Machine Learning Engineer Manager vs Data Scientist?

AspectMachine Learning Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; often leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads ML teams, manages projects, collaborates with engineeringAnalyzes data, builds models, reports insights, collaborates with business units
Employer & Industry UsageTech companies, AI firms, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis and modeling skills

The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.

Are machine learning engineer managers still in demand?

Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.

What are the most commonly searched types of Machine Learning Engineer jobs in California?

The most popular types of Machine Learning Engineer jobs in California are:

What cities in California are hiring for Machine Learning Engineer Manager jobs?

Cities in California with the most Machine Learning Engineer Manager job openings:

Infographic showing various Machine Learning Engineer Manager job openings in California as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer

San Jose, CA • On-site

Adobe
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

$150 - $200/hr

Other

Re-posted 8 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

38th of 247 rated software companies


Job description

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone-from emerging artists to global brands- everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.

The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part of Adobe’s Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale. We are building a new search, recommendations, and content understanding platform that powers suits of Adobe product lines. Our platform caters to millions of users and billions of entities. Become part of this growing team at Adobe and have an excellent impact by providing AI-powered search, recommendations, and gen AI-based assistance across the creative suites of products at Adobe. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company.

What You’ll Do

Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning algorithms for Search&Discovery team. Apply machine learning/reinforcement learning to improve content understanding, computer vision, deep learning, language understanding and content ranking & recommendations. Build machine learning offerings to enable lifecycle of billions of images, documents and other assets in Adobe Cloud. Build machine learning services to host AI/ML models using technologies such as REST web services, micro- services, machine learning frameworks, Pytorch, Tensorflow, and LLMs

What You Need to Succeed

MS/PhD (preferred) in Computer Science, Machine Learning or equivalent field. Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and C. Familiar with one or more machine learning or statistical modeling tools such as PyTorch, SGLang, Verl and scikit learn. Strong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a great teammate.

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

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.

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

The U.S. pay range for this position is $125,600 -- $234,150 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 $161,700 - $234,150. 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.

Additional Cultural and Accessibility Information

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! 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 applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com 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.

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What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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