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    Machine Learning Engineer - San Jose, United States - Adobe

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    Full time
    Description

    JOB LEVEL

    P40

    ADDITIONAL JOB LEVELS

    P30

    -

    EMPLOYEE ROLE

    Individual Contributor

    What you will do :

    • Collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training.
    • Write high quality, product level code that is easy to maintain and test following standard methodologies.
    • Design and implement reusable and scalable data loading framework that supports video and audio foundational model training in large-scale and distributed environments.
    • Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of the cutting-edge ML models.
    • Keep track of the latest innovation in academia and open-source community to implement rapid adoption of pioneering technologies to improve the performance of the ML platform.

    What you'll need to succeed:

    • B.S., M.S, or Ph.D. in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or a related area
    • Strong fundamentals in Machine Learning / Computer Vision / Natural Language Processing
    • Experience building machine learning models in a product environment
    • Experience in data processing and scientific computing tools such as NumPy and Pandas
    • Experience with Machine Learning / Deep Learning frameworks such as Scikit Learn, TensorFlow, Pytorch
    • Excellent communication skills and growing mindset

    #FireflyGenAI

    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 $135,200 -- $250,900 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.

    Internal Opportunities

    Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe

    Put your best foot forward:

    1. Update your Resume/CV and Workday profile – don't forget to include your uniquely 'Adobe' experiences and volunteer work.

    2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.

    3. Check out these tips to help you prep for interviews.

    4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

    Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

    At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

    Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

    If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact



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