Machine Learning Engineer - Infra

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!

Our focus is developing AI technologies for text, images, and videos to boost creativity. We're seeking an outstanding ML infra engineer with deep expertise in building large scale foundation models infrastructures that support all the generative AI efforts in Firefly! This is a chance to create a huge impact in a fast‑paced, startup‑like environment in a great company. Join us!

The position involves building infrastructures touching various components of our foundation model stack, including large scale data processing, scalable and reliable PyTorch training infrastructures, GPU optimizations with custom CUDA kernels on the latest Nvidia GPUs, and more!

• You’ll build and optimize infrastructures that power large foundation model training on thousands of GPUs.
• You will profile GPU utilization, trace inference and training runs and help craft strategies for optimizing our ML model latency.
• We’ll work together to architect and optimize end‑to‑end ML pipelines, ensuring they’re scalable, efficient, and robust.
• You’ll dive deep into data to recommend the right models, evaluation metrics, and governance approaches.
• Throughout the product lifecycle, you’ll engage in architecture, design, deployment, and optimizations of ML models and systems.

• Graduate, PhD, or postgraduate degree in Computer Science, Computer Engineering, or a related field—or equivalent experience.
• 2+ years ML Engineering experience, specializing in generative AI like LLMs.
• Strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or Tensor Flow, will be essential.
• Familiarity with distillation, transformers, and diffusion models. Experience with generative image and video is a plus.
• Knowledge of deployment technologies such as Docker, ML‑Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus.
• We value your excellent problem‑solving abilities and your capacity to analyze complex issues and drive solutions with a data‑driven approach.
• Your strong verbal and written communication skills and success in cross‑functional team environments will help us all succeed together.

#FireflyGenAI

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 $151,800 – $265,350 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 $183,300 – $265,350.

In Washington, the pay range for this position is $165,600 – $239,725.

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.

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.

Application Window Notice

If this role is…