Research Engineer, Generative Video

📋 Description

• Train and optimize large-scale video and multimodal models
• Improve efficiency across training and inference (memory, latency, cost)
• Implement distillation, quantization, pruning to speed up diffusion
• Build and maintain distributed training systems
• Optimize GPU utilization, parallelism, throughput
• Develop tooling for experimentation, evaluation, debugging

🎯 Requirements

• BS/MS/PhD in CS, ML, or related field
• 2+ years of professional industry experience
• Deep learning systems and infrastructure expertise
• PyTorch, CUDA, Triton, distributed training (FSDP, etc.)
• Experience scaling large models for low-latency inference
• Strong debugging and performance profiling skills

🎁 Benefits

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter Benefits
• Catered lunch multiple days per week
• Dinner stipend if working late
• Grubhub subscription