Multimodal AI Model Optimization Research Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-28). Last seen at its source just now.
We have tracked this listing since 28 Sep 2026 (3 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 3d ago · last seen just now
The listing
About Us
At Tavus, we're 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, we're 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
We’re 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. We’re 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, you’re 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..