Sr. Machine Learning Engineer, Adobe Firefly Services

22 Days Old

Sr. Machine Learning Engineer, Adobe Firefly Services Join to apply for the Sr. Machine Learning Engineer, Adobe Firefly Services role at Adobe Sr. Machine Learning Engineer, Adobe Firefly Services Join to apply for the Sr. Machine Learning Engineer, Adobe Firefly Services role at Adobe Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re 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!
Job Description
Adobe Firefly’s Generative AI Services team is seeking Senior Machine Learning Engineers 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 evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model Build and optimizeGPU-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.
What You’ll Need To Succeed
MS or PhD in Computer Science, Machine Learning, or a related field—or 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 asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
Preferred Qualifications
Experience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, 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 $120,700 -- $228,600 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.
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
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 an Equal Employment Opportunity 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 about our vision here.
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, email accommodations@adobe.com or call (408) 536-3015.
Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Advertising Services, IT Services and IT Consulting, and Software Development Referrals increase your chances of interviewing at Adobe by 2x Get notified about new Machine Learning Engineer jobs in Seattle, WA . Data Scientist, Energy Analytics, Google Cloud Seattle, WA $166,000.00-$244,000.00 2 weeks ago Seattle, WA $99,500.00-$187,000.00 1 week ago Software Development Engineer in Test (SDET) Seattle, WA $126,000.00-$181,000.00 1 week ago Software Developer-Artificial Intelligent/Machine Learning Seattle, WA $100,000.00-$220,000.00 4 months ago Data Science Analyst - Python and Machine Learning Kirkland, WA $141,000.00-$202,000.00 1 day ago Bellevue, WA $130,000.00-$170,000.00 2 weeks ago Seattle, WA $137,750.00-$237,500.00 1 week ago Seattle, WA $127,000.00-$240,000.00 6 hours ago Senior Business Data Scientist, Global Affairs Seattle, WA $166,000.00-$244,000.00 2 weeks ago Machine Learning Engineer, Identity Product Seattle, WA $212,000.00-$318,000.00 1 week ago Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) -2025 Start (BS/MS) Seattle, WA $104,500.00-$139,650.00 2 weeks ago Software Engineer - AI/ML, Multiple Locations Redmond, WA $84,200.00-$180,400.00 4 days ago Seattle, WA $141,000.00-$202,000.00 2 weeks ago Data Scientist – AI/ML Recommendations & Personalization Redmond, WA $100,600.00-$215,400.00 6 days ago Senior Business Data Scientist, Global Affairs Kirkland, WA $166,000.00-$244,000.00 2 weeks ago Seattle, WA $147,000.00-$259,000.00 1 week ago Bellevue, WA $147,000.00-$259,000.00 1 week ago Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS) Seattle, WA $118,657.00-$168,150.00 1 week ago Senior ML Engineer, Applied Machine Learning Machine Learning Engineer, Forecast Platform Seattle, WA $118,658.00-$168,150.00 2 weeks ago Seattle, WA $141,000.00-$202,000.00 4 days ago Machine Learning Engineer, Computer Vision We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Location:
Seattle, WA, United States
Job Type:
FullTime
Category:
IT & Technology

We found some similar jobs based on your search