onsite
Machine Learning Engineer Intern - Computer Vision & Generative AI
ML Engineer
Internship focused on building cutting‑edge multimodal AI systems for photorealistic virtual try‑on, video modeling, and smart sizing, using diffusion models, transformers, and efficient visual representations.
About the role
Key Responsibilities
- Design, implement, and iterate on multimodal pipelines that combine images, video, and generative components.
- Develop and fine‑tune diffusion models and transformer‑based architectures for photorealistic virtual try‑on and video‑based modeling.
- Optimize models for compute efficiency and production readiness, ensuring low latency and scalability.
- Collaborate with applied research and engineering teams to translate state‑of‑the‑art research into deployable solutions.
- Conduct experiments, analyze results, and document findings to drive continuous improvement.
Requirements
- Strong programming skills in Python and experience with deep‑learning frameworks such as PyTorch or TensorFlow.
- Solid understanding of computer vision concepts and generative AI techniques, including diffusion models and transformers.
- Hands‑on experience with training, evaluating, and deploying large‑scale vision models.
- Ability to work independently and collaboratively in a fast‑paced research‑to‑production environment.
- Enthusiasm for tackling frontier problems in visual AI and a willingness to learn new methodologies.
Skills
pythonpytorchtensorflowcomputer visiongenerative ai