Sr. Machine Learning Engineer, Adobe Firefly Services
Seattle, United States
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Full Time Senior-level / Expert USD 162K - 301K
Adobe
Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.Our Company
Changing the world through digital experiences is what Adobeās all about. We give everyoneāfrom emerging artists to global brandsāeverything they need to design and deliver exceptional digital experiences! Weāre passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.Ā
Weāre 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!
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- Design and evelopmentĀ of core GenAI services and APIs that integrate a wide range of generative models into Adobeās flagship products.
- Design and buildĀ ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
- CollaborateĀ with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model
- Build and optimizeĀ GPU-accelerated pipelines for both (customized) model training and inferenceāprioritizing performance, scalability, and reliability.
- Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
- MS or PhD in Computer Science, Machine Learning, or a related fieldāor equivalent industry experience.
- 7+ years of experience in machine learning, including production-scale deployments.
- 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
- Experience with GenAI frameworks and tools such asĀ PyTorch, CUDA, Triton, TensorRT,Ā Nvidia Dynamo, and Python.
- Good understanding of generative model architectures, includingĀ diffusion models, transformers, and GANs.
- Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
- Experience withĀ model serving, inference, orchestration, and GPU resource managementĀ in large-scale environments.
- Hands-on expertise inĀ Kubernetes, distributed systems, and MLOps platforms.
#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 positionāÆis $162,000 -- $301,200 annually. PayāÆwithin this range varies by work locationāÆand may also depend on job-related knowledge, skills,āÆand 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.Ā 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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and āfair chanceā ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be anĀ Equal Employment OpportunityĀ 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.Ā Learn more.
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Adobe aims to make Adobe.com 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, emailĀ accommodations@adobe.comĀ or call (408) 536-3015.
Tags: APIs Architecture Computer Science CUDA Diffusion models Distributed Systems Engineering GANs Generative AI Generative modeling GPU Kubernetes Machine Learning MLOps Model inference Model training PhD Pipelines Python PyTorch Research TensorRT Transformers
Perks/benefits: Equity / stock options
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