Staff Machine Learning Services Engineer

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

• 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 AOTinductor, 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 - $306,625In 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.

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. 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 characteristic. Learn more. Adobe aims to make our Careers website and recruiting process 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 or call +1 . AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.