Real-Time Multimodal AI Optimization Engineer

Tavus; United States; Híbrido; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work schedules

Unlimited PTO

Healthcare

Gear stipend

Descripción de la vacante

Tavus is seeking an experienced Research Scientist/Engineer focused on model optimization to join our core AI team in a role that blends research with production deployment.

We value individuals who thrive in startup settings, can work independently, and are willing to take calculated risks. This position offers relocation support and a path to high-impact AI systems in a fast-paced environment.

Formación

• Strong experience in deep learning using PyTorch.
• Hands-on experience with model optimization and compression (distillation, pruning, quantization, mixed precision).
• Understanding of efficient architectures such as low-rank adapters.
• Strong inference performance knowledge and GPU/accelerator fundamentals.
• Strong Python coding skills and reliable research engineering practices.

Responsabilidades

• 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.

Conocimientos

PyTorch

Model optimization

Compression

Knowledge distillation

Pruning/sparsification

Quantization

Mixed precision

Low-rank adapters

Inference performance

GPU fundamentals

Python coding

Cloud environments

Papers & reproducibility

Communication

Herramientas

TensorRT

ONNX Runtime

TVM

Triton

XLA

Descripción del empleo

Tavus is seeking an experienced Research Scientist/Engineer focused on model optimization to join our core AI team in a role that blends research with production deployment.

We value individuals who thrive in startup settings, can work independently, and are willing to take calculated risks. This position offers relocation support and a path to high-impact AI systems in a fast-paced environment.