Senior Research Engineer - Video Foundation Models (Pre - Training)
Tasks
- Advance distributed training strategies multi GPU multi node
- Build and optimize latent diffusion architectures
- Collaborate with cross-functional teams to deliver product impact
- Design video foundation models for human centric generation
- Develop conditioning mechanisms for pose emotion camera control script guidance
- Develop evaluation frameworks automated metrics human assessments
- Implement reproducibility experiment tracking monitoring CI CD
- Optimize inference pipelines for latency scalability cost efficiency output quality
- Run experimentation ablation studies performance analyses
Perks/Benefits
- 25 days annual leave
- Career growth opportunities
- Fully remote flexibility
- High-ownership environment
- Hybrid office access
- Public holidays
- Social events
- Team gatherings
Skills/Tech-stack
AWS | Ablation Studies | CI/CD | CUDA | DDP | DeepSpeed | Diffusion Models | Distributed Training | Docker | Evaluation metrics | Experiment tracking | FSDP | GANs | Inference Optimization | Latent Diffusion | Multigpu Training | Multinode training | PyTorch | Python | Slurm | VAEs | World Models
Education
N/A
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