Staff Machine Learning Engineer job opportunity at Adobe.

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Adobe Staff Machine Learning Engineer
Experience: 8-years
Pattern: full-time
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loacation San Jose, United States Of America
loacation San Jose....United States Of America

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!   Adobe Photoshop is seeking a Staff Machine Learning Services Engineer to serve as the technical lead for our Generative AI Services domain. In this high-impact role, you will lead engineering efforts collaborating closely with Research and product teams to deliver scalable, high-performance GenAI systems powering flagship features in Photoshop, Lightroom, Firefly, and our GenAI Enterprise offerings.   You will design and implement APIs and services that integrate Adobe’s proprietary models and third-party models. As a hands-on technical leader, you’ll define the architectural direction, uphold high engineering standards, mentor peers, and drive the productization of a rapidly growing GenAI portfolio. You’ll be joining a committed, multi-skilled team working on the foundation for some of Adobe’s most groundbreaking creative tools.     What you’ll do     Design, build, and maintain scalable, production-grade GenAI services in the cloud   Lead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integration   Drive the bridge between research and product teams throughout the lifecycle—from prototyping to deployment   Optimize model performance, GPU utilization , and service orchestration at scale   Work collaboratively with PMs, TPMs, and engineering leads to build and implement the GenAI roadmap  Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability  Own and improve CI/CD systems and monitoring pipelines for ML services   Mentor engineers across ML and backend fields, encouraging a culture of technical excellence  Provide tier-1 production support, ensuring service SLAs and customer satisfaction           What you need to succeed     MS or PhD in Computer Science or a related field, or equivalent experience in the industry.  8+ years' experience architecting cloud services and infrastructure for large scale use, reliability and performance    3+ years of experience with GenAI workloads—including fine-tuning and inference at scale   Strong foundation in Transformer architecture, Diffusion models, CLIP, VAE, Encoder/Decoders   Deep understanding of model serving, orchestration, and GPU resource management in distributed environments   Knowledge of model optimization techniques (quantization, pruning, distillation, etc.)   Expert-level coding and debugging skills in Python; familiarity with JavaScript/TypeScript is a plus   Hands-on experience with Kubernetes, Docker, and ML-Ops platforms (e.g., MLflow , KServe , Triton)   Familiarity with CUDA, Torch AOTinducto r , and frameworks such as PyTorch , TensorFlow, or ONNX Runtime   Proven track record of leading complex, high-stakes technical initiatives across teams   Strong problem-solving skills and a mentality for developing well-tested, production-quality software  Excellent communication and multi-functional collaboration skills  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 position is $172,500 -- $306,625 annually. Pay within this range varies by work location and 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.

In California, the pay range for this position is $211,800 - $306,625
In Washington, the pay range for this position is $201,000 - $291,150
 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. 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.   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.

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