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Machine Learning Engineer 2

Machine Learning Engineer 2

AdobeSan Jose, CA, United States
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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.

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 & optimize the experience of Adobe’s Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will build products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, collaborative, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, and data-driven.

What You'll Do

  • Develop innovative models in partnership with Adobe Research
  • Design and build applications powered by GenAI models and predictive models, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying on Cloud services, CICD, etc., as well as implementing ML-Ops best practices.
  • Understand data to make recommendation for the right predictive models, quality metrics and governance approaches.
  • Engage in product lifecycle – architecture, design, deployment, and production operations.
  • What you need to succeed The ideal candidate will have the following background :
  • MS or PhD degree in Computer Science, Data Science or related field required.
  • Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these method
  • Ability to quickly learn new skills and work in a fast-paced team.
  • Proficient in one or more programming languages such as Python, Scala, Java, SQL.
  • Proficient in ML frameworks such as scikit-learn, SparkML, TensorFlow or PyTorch.
  • Excellent problem-solving and analytical skills.
  • Excellent communication and relationship building skills.
  • Adobe is proud to be an Equal Employment Opportunity and affirmative action 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. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
  • 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 $102,400 $196,300 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 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.

    Seniority level

    Seniority level

    Entry level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Advertising Services, IT Services and IT Consulting, and Software Development

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