Machine Learning Researcher working with a diverse team to integrate ML techniques into fusion technology. Collaborating with scientists and engineers to drive innovative energy solutions.
About the role
- AI Researcher developing multimodal perception models for Tavus' core AI team. Focus on foundational multimodal models in conversational settings and collaborating with ML teams.
Responsibilities
- Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads).
- Model video, audio, and language sequences using Autoregressive, Predictive Architectures (e.g., V-JEPA), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images.
- Collaborate with the Applied ML team to bring your work to life in production systems.
- Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next.
Requirements
- A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.
- Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings.
- Deep understanding of sequence modeling in video/audio/language domains.
- Familiarity with large model training, especially LLMs or VLMs.
- Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice.
- Excellent programming skills, especially in PyTorch.
Benefits
- flexible work schedule
- unlimited PTO
- competitive healthcare
- gear stipends
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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