Senior Machine Learning Engineer, Firefly Foundry

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: 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 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.
• 5+ 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.
• 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; experience with cloud platforms like Azure and AWS is a plus.
• Excellent problem‑solving abilities and capacity to analyze complex issues and drive solutions with a data‑driven approach.
• Strong verbal and written communication skills and success in cross‑functional team environments.

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.

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.