Multimodal AI Model Optimization Research Engineer
Remote • Remote • FullTime
Posted 19d ago
Job Location
Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Tavus is building the human layer of AI, aiming to make human-AI interaction as natural as face-to-face communication. We pioneer research in multimodal AI for modeling human communication (language, audio, video) and generating audio-visual avatar behavior, powering applications from text-to-video avatars to real-time conversational video. We are a Series B company backed by top investors, seeking individuals who thrive in startup environments, can prioritize independently, and are willing to take calculated risks to help pave the path forward.
Responsibilities
- Optimize cutting-edge research models for speed, efficiency, and production readiness using techniques like sparsification, distillation, and quantization.
- Manage the end-to-end optimization lifecycle for key models, including defining metrics, conducting experiments, and benchmarking trade-offs in latency, cost, and quality.
- Collaborate closely with researchers and engineers to transform novel ideas into deployable systems.
Requirements
- Strong experience in deep learning with PyTorch.
- Hands-on experience with model optimization and compression techniques (knowledge distillation, pruning/sparsification, quantization, mixed precision).
- Understanding of efficient architectures like low-rank adapters.
- Strong grasp of inference performance and GPU/accelerator fundamentals.
- Proficient Python coding skills and robust 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.
Benefits
- Flexible work schedules
- Unlimited PTO
- Competitive healthcare
- Gear stipends
- Collaborative environment focused on learning and impact
- Relocation support