Research Engineer, Generative Video

Responsibilities

• Train and optimize large-scale video and multimodal models
• Improve efficiency across training and inference, including memory, latency, and cost
• Implement distillation, quantization, and pruning techniques to accelerate diffusion and autoregressive generation
• Build and maintain distributed training systems
• Optimize GPU utilization, parallelism, and throughput
• Develop tooling for experimentation, evaluation, and debugging
• Translate research models into robust, production-ready systems
• Monitor and improve model performance in real-world usage

Requirements

• BS, MS, or PhD in computer science, machine learning, or a related field
• At least 2 years of professional industry experience
• Strong experience with deep learning systems and infrastructure
• Expertise in PyTorch, CUDA, Triton, and distributed training, including FSDP
• Experience scaling and optimizing large models under low-latency inference constraints
• Strong debugging and performance profiling skills
• Ability to move quickly from prototype to production

Benefits

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter benefits
• Catered lunch multiple days per week
• Dinner stipend every night when working late
• Grubhub subscription
• Health and wellness perks
• Multiple team offsites per year and monthly team events
• Generous PTO policy
• In-person work required at the NYC headquarters in Union Square