Senior Applied Research Engineer - Video

Responsibilities

• You will own and execute end-to-end research and engineering projects, from hypothesis to production impact. This includes
• 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
• You will be expected to move fast, run multiple hypotheses in parallel, identify signal early, and focus on outcomes rather than exploration for its own sake.

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