Senior / Staff Research Engineer, Generative AI Deployment

📋 Description

• Be part of a multidisciplinary team of Research Scientists and Engineers building a best-in-class
• Take cutting-edge models from research to production. Turn research code and checkpoints into
• Make generative models leaner and faster to run. Profile end to end, from the model graph to GPU
• Own correctness as part of performance. Build benchmarks and numerical-parity tests focused on
• Build shared deployment tooling. Design the export, versioning, model registry, and build tooling
• Shape models for deployment. Work with research scientists early, so that new architectures are

🎯 Requirements

• Shipping Production Software. You have experience reading and developing production-quality
• Model Optimization and Deployment. You have taken models from a research codebase to an optimized
• GPU Performance. You profile with tools such as Nsight Systems, Nsight Compute, and the PyTorch
• Modern ML Architectures. You can read research code for modern architectures, such as vision
• Cloud Infrastructure. You have experience launching and debugging GPU jobs in the cloud (AWS, GCP

🎁 Benefits

• Competitive compensation and equity awards.
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time
• Unlimited Vacation.
• Flexible hours and Work from Home support.
• Daily drinks, snacks and catered meals (when in office).
• Regularly scheduled team building activities and social events both on-site, off-site &amp