Remote-Ready Multimodal AI Optimization Engineer

Tavus; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Flexible work schedules

Unlimited PTO

Healthcare

Gear stipend

Job summary

Tavus in San Francisco is seeking an experienced Research Scientist/Engineer focused on model optimization to join our core AI team. You will transform cutting-edge research models into fast, production-ready systems.

The role thrives in a startup environment, valuing independent thinking and calculated risk-taking. You will collaborate closely with researchers and engineers to turn new ideas into deployable solutions while optimizing latency, cost, and quality.

Qualifications

• Strong experience in deep learning with PyTorch.
• Hands-on model optimization and compression: distillation, pruning, quantization, mixed precision.
• Understanding efficient architectures like low-rank adapters.
• Excellent inference performance knowledge and GPU/accelerator fundamentals.
• Strong Python coding and reliable research engineering practices.
• Experience with large models and cloud environments.
• Ability to read ML papers, reproduce results, and adapt ideas.
• Clear communication and collaboration skills.

Responsibilities

• 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

Skills

PyTorch

Model optimization

Distillation

Pruning / Sparsification

Quantization

Mixed precision

Low-rank adapters

Inference performance

Python coding

Cloud environments

Reading papers

Collaboration

Tools

TensorRT

ONNX Runtime

TVM

Triton

XLA

CUDA kernels

Job description

Tavus in San Francisco is seeking an experienced Research Scientist/Engineer focused on model optimization to join our core AI team. You will transform cutting-edge research models into fast, production-ready systems.

The role thrives in a startup environment, valuing independent thinking and calculated risk-taking. You will collaborate closely with researchers and engineers to turn new ideas into deployable solutions while optimizing latency, cost, and quality.