Machine Learning Engineer Firefly
Machine Learning Engineer Firefly
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Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were 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!
Our goal is to seamlessly enable users to transform Creative Intent into Creative Success through GenAI features in our revolutionary content creation applications: Firefly Express Photoshop and others.
What Youll Do:
Design and develop the GenAI backend services for Firefly creating GPU optimized efficient model pipelines that power the generative AI features on Firefly website Photoshop Illustrator Express Stock and other applications/surfaces
Work on largescale stateful and stateless distributed systems Kubernetes and a wide range of diverse services including infrastructure realtime messaging data ingestion platforms SQL and noSQL databases web services orchestration services and more
Collaborate closely with data scientists and engineers to ensure the GenAI services are effectively integrated intoAdobeproducts and systems
Ensure scalable and reliable cloud services with observability logging and tracing to enable quick detection understanding and resolution of runtime issues
Explore and research new and emerging ML and MLOps technologies to continuously improve Adobes GenAI engineering effectiveness and efficiency
What You Need to Succeed:
Excellent programming skills (Python C)
Proven programming skillswith standard machine learning tools such as Python PyTorch and TensorFlow
Track record of delivering cloudscale datadriven products and services that are widely adopted with large customer bases
Exposure to container runtime environments
Experience in building deploying and managing infrastructures in public clouds (AWS Azure) or virtualization technologies.
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
Experience with CI/CD tools (e.g. Jenkins GitLab CI)
Bachelors / Masters degree in engineering
Bonus
Experience with GPU optimization CUDA Triton)
Experience converting models from various frameworks likePyTorch and TensorFlowto other target formats to ensure compatibility and optimized performance across different platforms
Adobe is proud to be anEqual Employment Opportunityand 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 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 emailor call.
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 others employees.
Employment Type
Full-Time
