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We’re hiring a Senior AI Researcher to lead foundational research at the intersection of multimodal modeling and conversational AI. You'll build multimodal models that model interactions between the user and the human like avatar to predict/control the audio/visual/language responses of the avatar. This isn’t a role for someone who just wants to follow the roadmap. You’ll help create it by steering our technical direction and shaping what the next generation of AI Human avatars looks like.
Job Responsibility:
Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language
Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames)
Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars
Partner with the Applied ML team to bring research into real-world use cases
Mentor other researchers and drive excellence across the team
Requirements:
A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems
Previous experience leading research efforts or mentoring teams
Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks
Experience with large-scale model training and optimization for performance and real-time generation
Proven ability to translate research ideas into production-grade systems
Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM)
Strong PyTorch skills and comfort moving fluidly between research and engineering
Nice to have:
Broad familiarity with generative AI paradigms and foundation models
Comfort working across the full research–to–deployment stack
A builder’s mindset: eager to experiment, iterate, and ship