Senior Machine Learning Engineer
United StatesRemote3+ YOE
Summary
Develops and optimizes diffusion models and generative AI for fashion design software. Conducts research, implements techniques for design quality and controllability, and deploys to production. Requires Master's/PhD, 3+ years experience, PyTorch proficiency.
About the role
Responsibilities
- Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques.
- Implement and evaluate novel techniques for improving quality and controllability in generated designs.
- Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively.
- Collaborate closely with the team to translate prototypes into production-ready systems.
- Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.
Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- 3+ years of industry experience.
- Strong theoretical and practical understanding of deep learning, with a focus on generative models (e.g., GANs, VAEs, Diffusion Models).
- Hands-on experience with deep learning frameworks such as PyTorch.
- Experience with training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure).
- Proficiency in using and tuning multimodal LLMs, including experience with both API-based and open-source model implementations.
- Ability to effectively present complex technical information to both technical and non-technical audiences.
Skills
Diffusion ModelsPyTorchGANsVAEsAWSGCPAzuremultimodal LLMsdeep learninggenerative AI