Job Description

Ready to pioneer deep generative modeling for real-time video synthesis?

Join a pioneering startup developing the foundation layer for the next big AI unlock, video behaviour and naturalness of conversation in video generation. This in turn will change the game for embodied agents with natural behaviours, real-time expression, and conversational intelligence that goes far beyond current avatar technology.

This Research Scientist role focuses on advancing embodied AI through groundbreaking generative modelling research. While existing solutions rely on looped animations with basic lip-sync, this company is building behaviour driven models that drive authentic, real-time interactions capable of natural conversation flow, interruption handling, and emotional expression.

Founded 18 months ago by an exceptional team where 7 out of 12 members hold AI PhDs, they're solving fundamental challenges in visual generation for embodied intelligence. Their beta platform already demonstrates sophisticated real-time video generation systems with advanced generative models creating natural facial expressions and body movements.

The company is building foundational generative technology that creates dynamic visual content from multimodal inputs, developing systems that generate realistic human-like expressions and movements. Their research sits at the intersection of computer vision, deep generative modeling, and real-time video synthesis.

Your focus:

• Conduct cutting-edge research in deep generative modeling for vision and video generation
• Develop sophisticated generative models for facial expressions, body dynamics, and full avatar synthesis
• Create novel architectures using diffusion models and flow matching for video generation
• Build real-time generative pipelines for dynamic visual content creation
• Advance state-of-the-art techniques in multimodal generative modeling
• Collaborate with engineering to productionise generative models into real-time systems
• Publish findings at top-tier conferences while deploying in real-world applications

Technical challenges: You'll work with cutting-edge techniques including diffusion models, flow matching, and advanced generative architectures for video synthesis. The focus is on creating high-quality, temporally consistent video generation that can power natural embodied agents, emphasising real-time performance and visual fidelity.

Requirements:

• PhD in Computer Vision, Machine Learning, or related field
• Strong publication record at top conferences (CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, SIGGRAPH)
• Recent video generation or embodied agent/avatar research publications within the past 2 years (essential)
• Expertise in flow matching and diffusion models
• Experience with one or more: dyadic conversational avatars, behaviour modelling via LLMs, real-time multimodal generation
• PyTorch proficiency and large-scale training experience

Nice to have:

• Industry experience deploying generative models in real-time applications
• Background in 3D generation, neural rendering, or Gaussian splatting
• Experience with video generation frameworks and temporal consistency methods

Environment: You'll join a distributed team working primarily in Pacific Time zones, collaborating with specialists in generative modeling, computer vision, and video synthesis. The culture emphasises high ownership, velocity with purpose, and collaborative problem-solving in a fast-moving research environment.

Package:

• Competitive salary $200k up to $300k base (flexible based on experience)
• Meaningful equity package
• Comprehensive healthcare (90% covered)
• Unlimited PTO
• Fully remote work with regular team offsites
• Life and disability coverage

Location: Fully remote position with preference for Pacific Time alignment.

If you're excited about conducting pioneering research in deep generative modeling for vision while shaping the future of embodied agents, this offers an exceptional opportunity to work on genuinely transformative technology.

Ready to help create the next generation of visual AI?

Contact Marc Powell at Techire AI. All applicants will receive a response.