Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe Firefly’s Generative AI Services team is seekinga Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems-powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers. Job Responsibilities

• Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
• Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model
• Build and optimize GPU-accelerated pipelines for both (customized) model training and inference-prioritizing performance, scalability, and reliability.
• Foster a culture of innovation , technical excellence, and continuous improvement across the organization., In California, the pay range for this position is $238,700 - $345,650 In Washington, the pay range for this position is $223,500 - $323,700 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. 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 “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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. 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:

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• MS or PhD in Computer Science, Machine Learning, or a related field-or equivalent industry experience.
• 10+ 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 as PyTorch, CUDA, Triton, TensorRT , Nvidia Dynamo, and Python.
• Good understanding of generative model architectures, including diffusion models, transformers, and GANs.

• Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred Qualifications

• Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
• Hands-on expertise in 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 positionis $190,200 – $345,650 annually. Paywithin this range varies by work locationand 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.