Machine Learning Engineer 5

OverviewJoin to apply for the Machine Learning Engineer 5 role at Adobe.Get AI-powered advice on this job and more exclusive features.Our CompanyChanging 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! What you’ll do Lead a small team dedicated to video-model inference quality and evaluation. Integrate and harden new video-generation models from the core Modeling team into production services. Build automated pipelines to track video-quality metrics, latency, drift, and cost. Partner with Evaluation-Platform and Integration-Services teams to move models through release gates. Define and enforce SLAs for inference quality, latency, and cost. Maintain clean APIs, tests, and CI/CD for all inference code (Python / PyTorch). Report clear metrics and blockers to researchers, product managers, and leadership. What You Need to Succeed B.S. or M.S. in Computer Science or related field, or equivalent experience. 6+ years software engineering, including 2+ years leading ML-inference or backend projects. Strong systems-architecture skills; expert Python and solid PyTorch. Hands-on experience running distributed services at scale (CI/CD, containers, orchestration). Proven record designing stable APIs and SDKs. Familiarity with automated testing, continuous integration, and on-call support. Clear written and verbal communication; able to align research and engineering teams. Nice to Have Experience with diffusion or other generative models. Ray or similar distributed-compute frameworks. Kubernetes, ECS, or comparable orchestration tools. Background in model quantization or GPU scheduling. Jenkins, GitHub Actions, or similar CI pipelines. NoteThis role focuses on inference integration and evaluation, not model training. Strong software-engineering discipline is essential to help next-generation video-generative models meet production quality bars quickly and reliably. Our compensation reflects the cost of labor across several U.S. geographic markets, and pay varies by location and job-related knowledge, skills, and experience. The U.S. pay range for this position is $162,000 – $301,200 annually. Recruiters can share the specific salary range for your job location during hiring. 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 protected characteristics. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call (408) 536-3015. State-specific notices and other legal language may apply. #J-18808-Ljbffr

Created: 2025-09-17