The Opportunity

• Photoshop ART is seeking a Senior Applied Scientist
• Machine Learning Systems Engineer- Photoshop to join our inpainting R&D team focused on making significant progress in image generation/restoration, low level vision, image editing with an eventual posture toward productization. Individuals in this role are expected to be expert in identified research areas such as artificial intelligence, machine learning, computer vision, and image processing. Strong preference will be given to candidates with experience in light transport, image formation, or physically based rendering, and in leveraging synthetic 3D scene data for training or analyzing learning-based models. This includes work on scene relighting, illumination transfer, harmonization, or appearance editing, as well as familiarity with generating or using simulated data to improve model controllability and realism with an eye toward productization. The ideal candidate will have a keen interest in producing new science to advance Adobe products.

What you'll Do

• Work towards long-term results-oriented research goals, while identifying intermediate achievements.

• Contribute to research that can be applied to Adobe product development.

• Help integrating novel research work into Adobe’s product.

• Lead and collaborate on research projects across different Adobe divisions.

Job Responsibilities-Kernel Development & Optimization: Write and maintain high-performance GPU kernels using Triton or CUDA to accelerate custom model layers and operations.

• Training Efficiency: Support the scaling of large-scale training runs. You will help implement and debug distributed training strategies including ZeRO,Tensor Parallelism, and Pipeline Parallelism.
• Inference Acceleration: Implement state-of-the-art inference techniques such as quantization (FP8/INT8),speculative decoding, and KV cache optimizations to reduce latency and cost-per-token.
• Performance Profiling: Conduct deep-dive bottleneck analysis using tools like Py Torch Profiler,NVIDIA Nsight, and Nsight Systems to identify stalls in compute, memory bandwidth, or NCCL communication.
• System Maintenance: Collaborate on the "Model Factory" pipeline to ensure training jobs are fault-tolerant and utilize cluster resources efficiently across Infini Band/RoCE networks.
  What You’ll Need to Succeed-Education: Master’s or PhD's degree in Computer Science, Electrical Engineering, or a related field with a focus on Parallel Computing or Systems.
• Foundational Systems Programming: Proficiency in Python and C++, with a solid understanding of memory management and concurrency.
• Hands-on ML Frameworks: Experience working with Py Torch or JAX, specifically moving beyond simple model training into distributed setups (e.g., Py Torch FSDP, Deep Speed).
• GPU Awareness: A strong grasp of GPU architecture (SRAM vs. HBM, warps, and thread blocks) and how these impact the performance of ML workloads.
• Analytical Mindset: A "measure twice, cut once" approach to engineering—you enjoy looking at execution traces and flame graphs to find 10% wins.
  Preferred Experience Experience contributing to open-source efficiency libraries (e.g., vLLM,Flash Attention, or TensorRT-LLM).Exposure to low-level communication libraries like NCCL and an understanding of collective operations (All Reduce, All Gather).Familiarity with containerization (Docker/Kubernetes) and job scheduling in a headless Linux environment.
• Knowledge of modern model architectures like Mixture-of-Experts (MoE) or Diffusion Transformers (DiT

About Adobe

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 Gen Studio 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 accommodations@adobe.com or call +1 408-536-3015.

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.

Expected Pay Range:

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 $164,000 -- $313,300 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 $216,400 - $313,300
In Washington, the pay range for this position is $204,800 - $296,600

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.