onsite
Senior Machine Learning Engineer - Adobe
ML Engineer
Lead the design and deployment of custom generative AI models for image, video, and 3D content, leveraging Python, deep‑learning frameworks, and cloud infrastructure to deliver enterprise‑grade solutions.
About the role
Key Responsibilities
- Architect, develop, and fine‑tune large‑scale generative AI models (image, video, 3D) that incorporate customers' proprietary data.
- Build end‑to‑end MLOps pipelines on AWS, including data ingestion, model training, validation, and production deployment.
- Collaborate with product, design, and media‑intelligence teams to integrate AI capabilities into Adobe’s creative workflow platforms.
- Optimize model performance, scalability, and cost‑efficiency using containerization (Docker) and cloud services.
- Mentor junior engineers, conduct code reviews, and champion best practices in reproducible research and model governance.
Requirements
- 5+ years of professional experience in machine learning, with a focus on generative models and deep learning.
- Strong proficiency in Python and major frameworks such as PyTorch or TensorFlow.
- Hands‑on experience building and deploying AI services on AWS (SageMaker, EC2, S3) and container orchestration.
- Demonstrated ability to work with large multimedia datasets and to translate research prototypes into production‑ready systems.
- Excellent problem‑solving skills and the ability to communicate complex technical concepts to cross‑functional stakeholders.
Skills
pythonpytorchtensorflowgenerative aiawsdocker