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    Sr ML Infrastructure Engineer - San Jose, United States - Adobe

    Adobe
    Adobe San Jose, United States

    Found in: beBee S2 US - 2 weeks ago

    Default job background
    Full time
    Description

    JOB LEVEL

    P55

    EMPLOYEE ROLE

    Individual Contributor

    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 craft and deliver exceptional digital experiences We're passionate about empowering people to create appealing and powerful images, videos, and apps, and transform how companies work well with customers across every screen. cur

    We're on a mission to hire the very best and are committed to crafting exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new insights can come from everywhere in the organization, and we know the next big idea could be yours

    Responsibilities:

    • Design, architect and build cloud ML platform solutions related but not limited to resource management, monitoring, allocation, and job scheduling.
    • Design, architect and build reliability, observability and utilization infrastructure for cloud computing resources.
    • Collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training.
    • Collaborate with machine learning and data scientists to identify and resolve requirements in order to improve the training cost and turnaround time on the ML platform.
    • Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs.
    • Write high quality, product level code that is easy to maintain and test following standard methodologies.

    Key skill requirements:

    • Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes (5+ yrs)
    • Expert in Python and or C++
    • Experience in distributed computing (7+ yrs)
    • Experience in HDFS, Spark, Presto (3+ yrs)
    • Experience working with AWS or similar cloud infrastructure (5+ yrs)
    • Experience with HW resource management for ML training and/or deployment
    • B.S., M.S, or Ph.D. in Computer Science, Computer Engineering or a related area

    #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 $170,900 -- $325,200 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.

    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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