At a Glance
- Tasks: Lead research on audio-visual avatar generation and innovate in human-AI interaction.
- Company: Join Tavus, a pioneering research lab backed by top investors.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Other info: Dynamic environment with potential for significant impact and career growth.
- Why this job: Shape the future of AI with meaningful human-machine connections.
- Qualifications: PhD or equivalent experience in generative models and strong programming skills.
The predicted salary is between 80000 - 100000 € per year.
About Us
Tavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.
Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale. We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners. Be part of shaping a future where humans and machines truly understand each other.
The Role
We’re hiring a Senior AI Researcher to lead research in audio-visual avatar generation. This role is for someone who thrives in ambiguity, has a track record of pushing generative models to new frontiers, and wants to define what human–AI interaction looks like in practice.
Your Mission 🚀
- Lead research efforts on audio-visual generation for avatars (Neural Avatars, Talking-Heads), with a focus on conversational settings.
- Design models that are coupled with conversation flow — capturing and generating verbal + non-verbal signals in sync.
- Drive innovation in diffusion models, long-video generation, and audio-visual modeling.
- Translate research into production by partnering with Applied ML and engineering.
- Mentor researchers, set research directions, and publish impactful work.
You’ll Bring:
- A PhD or equivalent research experience, plus 2–3+ years of hands-on experience applying generative models at scale.
- Expertise in diffusion models and awareness of the latest efficiency techniques.
- Experience in multimodal generation — spanning video, audio, and language.
- Proven innovation in long-video generation and/or audio generation.
- Excellent programming skills — fluent in PyTorch and GPU-optimized workflows.
- Track record of publications in top-tier venues (CVPR, NeurIPS, BMVC, ICASSP, etc.).
- Experience leading research activities or mentoring teams.
Nice-to-Haves
- Skills in 3D graphics, Gaussian splatting, or large-scale training setups.
- Broad exposure to generative AI models beyond your specialty.
- Familiarity with software development best practices.
Location
Preferred: San Francisco (hybrid) or London (office opening soon). Remote within U.S. or Europe considered for exceptional candidates.
Research Engineer in Peterborough employer: Tavus
At Tavus, we are not just pioneering human computing; we are creating a vibrant work culture that fosters innovation and collaboration. As a Senior AI Researcher, you will have the opportunity to lead groundbreaking research in audio-visual avatar generation while being supported by world-class investors and a team that values mentorship and professional growth. With our hybrid work model in dynamic locations like San Francisco and London, you can enjoy a flexible work environment that encourages creativity and meaningful contributions to the future of human-AI interaction.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in Peterborough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models and audio-visual generation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of diffusion models and multimodal generation. Be ready to discuss your past research and how it aligns with Tavus' mission of human-AI interaction.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Engineer in Peterborough
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and human-computer interaction shine through. We want to see that you’re genuinely excited about the role and how it fits into our mission at Tavus.
Tailor Your CV:Make sure your CV highlights relevant experience in generative models and audio-visual generation. We love seeing how your background aligns with what we’re doing, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your work, especially any innovative projects or research that relate to audio-visual avatars or conversational AI.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Tavus
✨Know Your Stuff
Make sure you brush up on the latest trends in generative models, especially diffusion models. Be ready to discuss your past research and how it relates to audio-visual avatar generation. This shows you're not just familiar with the field but are genuinely passionate about it.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any publications in top-tier venues. Bring examples of your projects that highlight your programming skills in PyTorch and your experience with multimodal generation. This will help demonstrate your hands-on experience and innovation.
✨Engage in Conversation
Since the role focuses on conversational settings, practice discussing complex topics in a clear and engaging way. Think about how you can explain your research to someone outside your field. This will show your ability to communicate effectively, which is crucial for collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about Tavus's vision for AI Humans and how they see the future of human-AI interaction. This not only shows your interest in the company but also gives you a chance to assess if their goals align with your own aspirations.
