Staff Machine Learning Engineer

Adobe Photoshop is seeking a Staff Machine Learning Services Engineer to serve as the technical lead for our Generative AI Services 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 Adobes proprietary models and third-party models. As a hands-on technical leader youll define the architectural direction uphold high engineering standards mentor peers and drive the productization of a rapidly growing GenAI portfolio. Youll be joining a committed multi-skilled team working on the foundation for some of Adobes most groundbreaking creative tools.

What youll 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 lifecyclefrom 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 workloadsincluding 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

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets 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.

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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 its restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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.