Multimodal AI Model Optimization Research Engineer, Tavus

• Our ideal partner-in-crime thrives in startup environments, is comfortable prioritizing independently, and is willing to take calculated risks
• We’re moving fast and looking for people who can help pave the path
• Strong experience in deep learning using PyTorch
• Hands-on experience with model optimization and compression, including knowledge distillation, pruning/sparsification, quantization, and mixed precision
• Understanding of efficient architectures such as low-rank adapters
• Strong understanding of inference performance and GPU/accelerator fundamentals
• Strong Python coding skills and reliable research engineering practices
• Experience working with large models and datasets in cloud environments
• Ability to read ML papers, reproduce results, and adapt ideas
• Clear communication and collaboration skills

Desirable

• We’re looking for an experienced Research Scientist/Engineer with a focus on model optimization to join our core AI team
• Take cutting-edge research models and make them fast, efficient, and production-ready using sparsification, distillation, and quantization
• Own the optimization lifecycle for key models: define metrics, run experiments, and benchmark trade-offs across latency, cost, and quality
• Partner closely with researchers and engineers to turn new ideas into deployable systems