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Machine Learning Engineer

Adobe Inc.
United States, California, San Jose
345 Park Avenue (Show on map)
May 14, 2025

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

Adobe.com Engineering team is looking for a Machine Learning Engineer to join the team in the San Jose office. This is an exciting role that enables you to apply machine learning (ML) principles to millions of users! You will be creating and evaluating different machine learning models, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our prediction engine on various web and desktop applications serving all Adobe users. You will build elegant frontend and backend applications on world-class technologies that bring the creative Adobe experience to millions of users, anywhere and anytime!

We are looking for someone who has a strong computer science background, solid data science knowledge and experience in related ML roles. If you are interested in joining an extraordinary team of hardworking people and industry veterans who love to build elegant products, we would like to hear from you!

What you'll do

  • Work closely with product and engineering managers to resolve and refine machine learning objectives.

  • Turn unstructured data into useful information by auto-tagging or other data cleansing methods.

  • Develop ML algorithms to analyze huge volumes of historical data to make predictions.

  • Design ML systems to support Content Consumption Recommendation, App Engagement Recommendation and Commercial Recommendation.

  • Run tests, perform statistical analysis, and interpret test results.

  • Work closely with other engineers to build new Adobe creative cloud experience with ML for the web, desktop and backend.

  • Implement new and redesign ML related features.

  • Implement best development methodologies and standards.

  • Participate in software architecture, design and development.

  • Documenting machine learning processes

  • A focus on user experience, UI design principles and making applications work intuitively.

What you will need to succeed

  • Preferably PhD or M.S. in Computer Science, Data Science, Mathematics or related field or equivalent work experience.

  • A minimum of five years of industry based development experience with experience in Machine Learning related software development

  • Experience with Machine Learning technologies such as SageMaker, Jupyter Notebook, TensorFlow, etc.

  • Experience with one or more of the following: React, Redux, ES6, JavaScript, CSS, HTML5, RESTful API, Node.js, Java, GraphQL, web technologies.

  • Experience with database technologies such as Amazon DynamoDB, MongoDB, SQL, etc.

  • Experience with AWS, or other Content Delivery Network (CDN).

  • Experience in understanding large and sophisticated code bases, including API design techniques to help keep them clean and maintainable.

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 $120,700 -- $228,600 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.

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 is proud to be an Equal Employment Opportunityemployer. 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.comor call (408) 536-3015.

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