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Machine Learning Engineer

Machine Learning Engineer

AdobeSan Jose, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Overview

Join to apply for the Machine Learning Engineer role at Adobe .

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!

The Opportunity

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!

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.
  • Develop and implement criteria for evaluating the performance of machine learning models and systems.
  • Engage in the full product lifecycle, from initial construction to deployment and production operations.
  • Deliver leadership in architectural development, technology selection, and holistic evaluation of machine learning models.

What you need to succeed

  • Ph.D or MS degree in Computer Science, Data Science, or a related field.
  • 3+ years of experience in the software industry with at least 2 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 $120,700 $228,600 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.

    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.

    Seniorirty level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Industries : Advertising Services, IT Services and IT Consulting, and Software Development
  • 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. 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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    Machine Learning Engineer • San Jose, CA, United States

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