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    Senior Machine Learning Engineer - Seattle, United States - Adobe

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    Full time
    Description

    JOB LEVEL

    P50

    EMPLOYEE ROLE

    Individual Contributor

    The Opportunity

    Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualise, build, and scale content. It's a natural extension of the technology Adobe has produced over the past 40 years.

    At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work.

    Whatyou willDo

    • Deliver end-to-end machine learning solutions that have organizational-wide impact using innovative architectures
    • Contribute to the backend services for Firefly that power the generative AI features on Firefly website, Photoshop, Illustrator, Express, Stock and other applications/surfaces
    • Develop GPU optimized, efficient model pipelines for new Firefly features serving a variety of modalities like images, vectors, 3D, etc.
    • Ensure a scalable, reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
    • Chip in to Project Colligo, the AI superhighway for inference that will handle and serve a collection of ML models in a highly scalable and resilient system
    • Develop critical aspects of the business logic in the Firefly services to ensure metering of usage, entitlement checks, quota limits and upsell workflows

    What you need to succeed

    • PhD or Masters in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience
    • 4+ years of hands-on experience with PyTorch and Python in a production environment
    • Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)
    • Validated expertise in creation and optimization as well as operation of GPU intensive ML workloads in production environments
    • Expertise in optimizing and deploying machine learning models on device
    • Deep understanding of model serving, orchestration, scaling and GPU resource management
    • Demonstrated experience productizing pipelines using generative models
    • Strong critical thinking, analytical and quantitative problem-solving ability
    • Excellent communication, relationship skills and a strong team player
    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 $150,700 -- $284,400 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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