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Machine Learning Platform Engineer Jobs in California

Adobe

Machine Learning Engineer

San Jose, CA · On-site

As a Machine Learning Engineer, you will play a key role in developing machine learning models and ... platforms and tools that unleash creativity, productivity and personalized customer experiences.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... iOS platforms. In this role, you will work closely with other ML engineers as well as data and ... machine learning, computer science, computer engineering or related fields.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... platforms. In this role, you will work closely with other ML engineers as well as data and software ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site

$143K - $214K/yr

As data volume and complexity grow, our platform enables large-scale model training, feature ... We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site

$143K - $214K/yr

As data volume and complexity grow, our platform enables large-scale model training, feature ... We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

At the core of this is our Machine Learning, Experimentation, and Inference Platform, which powers ... We're looking for seasoned engineers with machine learning backgrounds to support this mission.

Eve

Platform Engineer

San Mateo, CA

Enhance the performance of machine learning systems, managing resources effectively to support large-scale operations. * Collaborate Across Teams: Work closely with machine learning and development ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) * Experience with A/B ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI) * Experience with A/B ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus ...

Machina Labs

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 ... Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus ...

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All JobsMachine Learning Platform Engineer JobsMachine Learning Platform Engineer Jobs in California

Machine Learning Platform Engineer information

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

A Machine Learning Platform Engineer should have strong programming skills (especially in Python or Java), knowledge of machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms and scalable infrastructure. Familiarity with containerization tools (such as Docker and Kubernetes), CI/CD systems, and relevant certifications in cloud or machine learning technologies is highly valued. Effective problem-solving, teamwork, and clear communication are crucial soft skills for collaborating across data science and engineering teams. These capabilities enable seamless creation and maintenance of robust, high-performance machine learning platforms for scalable model development and deployment.

What does a typical day look like for a Machine Learning Platform Engineer?

A typical day for a Machine Learning Platform Engineer involves designing, building, and maintaining the infrastructure that supports data science and machine learning workflows. You might spend your time developing new features for the platform, optimizing data pipelines, deploying models, and troubleshooting technical issues alongside data scientists and engineers. Collaboration is key—you’ll often work closely with cross-functional teams to understand requirements, ensure scalability, and improve the overall machine learning lifecycle. This role offers a challenging mix of software engineering and system design, so adaptability and a proactive mindset are important for success.

What is a Machine Learning Platform Engineer job?

A Machine Learning Platform Engineer designs, builds, and maintains the infrastructure that enables machine learning development and deployment at scale. They work on areas like data pipelines, model training workflows, monitoring, and cloud or on-premises platforms to ensure ML models run efficiently in production. Their role bridges software engineering and machine learning, focusing on automation, scalability, and reliability to support data scientists and ML engineers in delivering models faster and more effectively.

What are popular job titles related to Machine Learning Platform Engineer jobs in California? For Machine Learning Platform Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Platform Engineer jobs in California look for? The top searched job categories for Machine Learning Platform Engineer jobs in California are:
Machine Learning Platform Engineer jobs near you
Infographic showing various Machine Learning Platform Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Adobe

San Jose, CA • On-site

Full-time

Posted 9 days ago

Job description

Machine Learning EngineerThe Opportunity
Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine learning solutions, empowering companies to understand their operations better and make data-driven decisions to achieve key business objectives.
We work on advanced algorithms for attribution, measurement, forecasting, and planning that enable organizations to optimize their strategies and drive growth. Our solutions are designed to address real-world challenges across diverse industries, helping businesses improve performance metrics and increase efficiency.
You will work in a multi-functional capacity, collaborating closely with product, engineering, and business teams to operationalize advanced machine learning techniques. By joining us, you will directly contribute to the development of impactful solutions that drive measurable value for our business clients.
Our work increasingly intersects with the broader AI landscape, including generative and agentic AI, as we continue to expand what is possible for our clients.
If you are passionate about innovation, solving meaningful problems, and pushing the boundaries of technology, this is the place for you.
What You'll Do
  • Develop and implement machine learning models and algorithms to solve complex problems
  • Work with multi-functional teams to build and deploy scalable machine learning solutions
  • Conduct research and stay updated on the latest trends in machine learning and artificial intelligence
  • Optimize machine learning models for performance and accuracy
  • Analyze large datasets to extract meaningful insights and drive data-informed decisions
  • Engage in code reviews and contribute to maintaining high-quality standards in software development
  • Explore and apply emerging AI capabilities, including agentic systems and generative AI, as we extend the reach of our core analytical solutions
What You Need to SucceedEducational Requirements

Ph.D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a relevant field, OR Master's degree in these fields with 2+ years of relevant industry experience

Core Skills
  • Proficient in programming languages such as Python, R, or similar
  • Strong foundation in probability, statistics, and mathematical modeling
  • Knowledge of common machine learning algorithms and techniques
  • Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn
  • Strong analytical and problem-solving skills with a focus on data-driven decision-making
Additional Qualities
  • Experience contributing to the development and deployment of machine learning models, including in production environments
  • Ability to thrive in collaborative, dynamic, and fast-paced settings
  • A passion for knowing the latest advancements in machine learning and continuous self-improvement
  • Strong communication skills to effectively convey complex technical concepts to diverse collaborators
  • Exposure to or curiosity about generative AI and agentic AI frameworks, and how they complement and extend traditional ML workflows

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 positionis $125,600 -- $234,150 annually. Paywithin this range varies by work locationand 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.

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

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