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Machine Learning Engineer
Machine Learning EngineerNLP PEOPLE • San Jose, CA, United States
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Machine Learning Engineer

Machine Learning Engineer

NLP PEOPLE • San Jose, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

JOB LEVEL P50

EMPLOYEE ROLE Individual Contributor

The Opportunity

Join Adobe as a Machine Learning Engineer in San Jose, CA, and be part of an exceptionally dedicated team that is redefining the digital landscape. This role offers an outstanding chance to apply your expertise in machine learning and AI to drive world‑class customer experiences. Be ambitious and help us compete in the forefront domain of Generative AI while collaborating with some of the most hard‑working professionals in the industry!

What you’ll do

  • Craft and develop machine learning applications focusing on the generative AI domain.
  • Successfully implement machine learning systems by addressing engineering challenges such as defining APIs and ensuring seamless integration with user interfaces.
  • Define and implement evaluation metrics to measure the quality of machine learning models and systems.
  • Engage in the full product lifecycle, from initial design to deployment and production operations.
  • Provide technical leadership in architectural design, technology selection, and comprehensive evaluation of machine learning models.

What you need to succeed

  • PhD or MS degree in Computer Science, Data Science, or a related field.
  • 8+ years of experience in the software industry with at least 5 years dedicated to developing and evaluating ML models, and deploying them into production.
  • Proficient in statistical modeling, machine learning, and analytics, with a proven track record in problem‑solving using these methods.
  • Skilled in one or more programming languages such as Python, GoLang, Java, or SQL, with familiarity with cloud development on platforms like Azure or AWS.
  • Proficient in at least one deep learning framework such as TensorFlow or PyTorch.
  • Experience with Large Language Models (LLMs) and the emerging field of prompt‑engineering.
  • Excellent problem‑solving, analytical, communication, and relationship‑building skills.
  • 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 $162,000—$301,200 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 addition, certain roles may be eligible for long‑term incentives in the form of a new hire equity award.

    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 (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

    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 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 or call (408) 536‑3015.

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