Multimodal AI Model Optimization Research Engineer
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Job Location:
London, KY - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Tavus Multimodal AI Model Optimization
Research Engineer
At Tavus were building the human layer of AI. Our mission is to make human-AI interaction as natural as face-to-face interaction enabling the human touch where it has been previously unscalable.
We achieve this through pioneering research in multimodal AI for modeling human-to-human communication (language audio and video) as well as generating audio-visual avatar behavior. Our models power everything from text-to-video AI avatars to real-time conversational video experiences across industries like healthcare recruiting sales and education.
By enabling AI to see hear and communicate with human-like authenticity were creating the foundation for the next generation of AI employees assistants and companions.
We are a Series B company backed by top investors including Sequoia Y Combinator and Scale VC. Join us in driving the future of human-AI interaction.
The Role
Were looking for an experienced Research Scientist/Engineer with a focus on model optimization to join our core AI team.
Our ideal partner-in-crime thrives in startup environments is comfortable prioritizing independently and is willing to take calculated risks. Were moving fast and looking for people who can help pave the path.
Your Mission
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
Requirements
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
Preferred Experience
Optimization of diffusion models video/audio generative models or large language models
Experience with real-time or streaming systems (low-latency APIs WebRTC streaming TTS/video)
Familiarity with TensorRT ONNX Runtime TVM Triton or XLA
Experience writing custom Triton/CUDA kernels or low-level performance tuning
Experience with experiment tracking benchmarking and profiling at scale
Prior experience in research engineering or applied science roles
Location
This position is preferably hybrid in San Francisco with relocation support offered. Remote candidates are also considered.
Benefits
When you join Tavus youre joining a family. We offer flexible work schedules unlimited PTO competitive healthcare and gear stipends and a collaborative environment focused on learning and impact.
Culture & Diversity
We are not looking for cultural fits we are looking for culture creators. Diversity drives our success and we combine varied backgrounds skills and perspectives to build the best experiences for our clients..
Required Experience:
IC
Key Skills
About Company
Tavus is the leading AI video research company that enables product development teams to build white-labeled digital twin experiences with easy-to-use APIs.
