2 days ago
Base Salary
$190k - $346k/yr
Responsibilities
- Design and develop core generative AI services and APIs integrating a broad range of models into Adobe products.
- Build enterprise-scale workflows for model customization, serving, inference, orchestration, and ecosystem integration.
- Collaborate with Adobe Research and model developers on inference strategies and model productization.
- Build and optimize GPU-accelerated pipelines for customized model training and inference.
- Set technical direction, foster technical excellence, and mentor other ML engineers.
Requirements
- MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
- 10+ years of machine learning experience, including production-scale deployments.
- 3+ years leading large-scale, GPU-intensive generative AI systems involving training, inference, and optimization.
- Experience with PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
- Understanding of diffusion models, transformers, and GANs.
- Strong communication and leadership skills, including experience driving alignment in matrixed organizations.
- Preferred: experience with model serving, inference, orchestration, GPU resource management, Kubernetes, distributed systems, and MLOps platforms.
Benefits
- U.S. base salary range of $190,200-$345,650 annually, varying by geographic market, location, skills, and experience.
- Eligible roles may receive annual incentives and long-term new-hire equity awards.
- Adobe offers comprehensive benefits programs and an equal employment opportunity workplace.
Tech Stack
Categories
About Adobe
Adobe builds software for creative work, document workflows, and customer experience used by individuals, teams, and enterprises. Its products include Creative Cloud (Photoshop, Illustrator, Premiere Pro), Acrobat/Document Cloud, and Experience Cloud for marketing and analytics, sold primarily via subscriptions. Founded in 1982 and headquartered in San Jose, California, Adobe is a public company traded on NASDAQ under the ticker ADBE.