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Machine Learning Engineer 3AdobeUnited States
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Machine Learning Engineer 3

Adobe
  • US
    United States
  • US
    United States

About

Machine Learning Engineer 3 – Adobe Join to apply for the
Machine Learning Engineer 3
role at
Adobe
during our hiring for key AI teams.
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 is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well‑established in the ML space. The work here is dynamic, fast‑paced, creative, and data‑driven.
What You’ll Do
Develop innovative models in collaboration with Adobe Research.
Design, develop, and deploy applications powered by predictive and generative models, focusing on building autonomous agents and using agentic frameworks for adaptive decision‑making.
Implement ML‑Ops best practices to ensure scalable, reliable, and efficient machine learning workflows.
Engage in the product lifecycle, including architecture, design, deployment, and production operations.
Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches.
What You Need to Succeed The ideal candidate will have the following background:
MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, or a PhD degree in a related field.
Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods.An
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Experience in building large‑scale data pipelines.
Ability to quickly learn new skills and work in a fast‑paced team.
Proficiency in one or more programming languages such as Python, Scala, Java, or SQL.
Proficiency in ML frameworks such as scikit‑learn, SparkML, TensorFlow, or PyTorch.
Experience working with both research and product teams.
Excellent problem‑solving and analytical skills.
Excellent communication and relationship‑building skills.
Compensation The U.S. pay range for this position is $120,700 – $228,600 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience.
State‑Specific Notices
California:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
If this role is open to hiring in Colorado, 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:
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.
Equal Employment Opportunity Statement 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.
Job Details
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Engineering and Information Technology
Industries:
Advertising Services, IT Services and IT Consulting, Software Development
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  • United States

Languages

  • English
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