JOB LEVEL P50 EMPLOYEE ROLE Individual Contributor The Firefly GenAI engineering team is looking for a passionate ML Engineer to enable and accelerate the Adobe GenAI creative flows powered by pioneering machine learning models. Our goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary content creation applications: Firefly, PPro, Express, Photoshop, Podcast and others. This is a unique opportunity to work on powerful new and innovative generative technologies. In this role, you will work closely with ML researchers, bringing groundbreaking AI experiences to our users by enabling large-scale productisation through cloud based services. Responsibilities Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Work on large-scale stateful and stateless distributed systems for AI workflows with cost efficient strategies Collaborate closely with data scientists and engineers to ensure the GenAI services are effectively integrated into Adobe products and systems Ensure scalable and reliable cloud services with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe`s GenAI engineering effectiveness and efficiency Requirements 10+ years of experience Excellent programming skills (Python) Proven programming skills with standard machine learning tools such as Python, PyTorch, and TensorFlow Experience in pioneering Generative AI technologies, such as diffusion and/or GAN models Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases Advanced understanding of AI/ML, including ML frameworks Passion for staying up to date with the latest trends and technologies in AI/ML - in the cloud and on device Bachelors / Masters degree in engineering Bonus Experience with GPU optimization (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. Were glad that youre pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile dont 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 youre interested in. 3. Check out these tips to help you prep for interviews. 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 youre 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. 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 hidden_email.,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Senior Machine Learning Engineer - 5 Job in