Requirements

• Strong experience training deep learning models at scale
• Strong Python and PyTorch skills
• Hands-on experience with diffusion models (image domain required; video preferred)
• Experience with large scale multi-GPU / multi-node training
• Good understanding of distributed training (DDP, FSDP, DeepSpeed or similar)
• Ability to design controlled experiments and interpret noisy results

Nice to Haves

• Experience with video diffusion models
• Experience in avatar or human-centric generation
• Familiarity with world / interactive models
• Experience with GANs or VAEs
• Experience optimizing inference systems for production

What You'll Be Doing

• Developing and scaling latent video diffusion models tailored for human-centric video generation
• Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity
• Advancing distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) under real compute constraints
• Improving training stability at multi-node scale
• Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation
• Optimizing inference for low latency, high resolution, and cost efficiency
• Running controlled ablations and experiments to drive high-signal modeling decisions
• Contributing to high engineering standards: reproducibility, experiment tracking, CI/CD, monitoring

Perks and Benefits

• Build production-scale video foundation models in a fast-growing Generative AI company
• Work on human-centric video generation with real-world impact
• Tackle hard problems in scaling, stability, and controllability
• Influence the direction of next-generation synthetic human technology
• Join a highly technical, high-ownership environment where your work ships