AI Research Scientist

As an AI Research Scientist at Tavus, your primary responsibilities include leading research efforts on generative video models like Neural Avatars and Talking-Heads, collaborating with the Applied ML team to help productionize innovative research, and staying updated on the latest advancements in multi-modal AI models. Your work will be instrumental in shaping the future of human-AI interaction.

To qualify for the AI Research Scientist position at Tavus, candidates should have academic or industry experience in facial animation or talking-head technologies. Experience working with video, particularly in areas like NeRF, super-resolution, and video diffusion, is also essential. Additionally, previous publications in relevant topics and the ability to lead research projects to meet industry goals are highly valued.

Yes, Tavus is open to remote candidates for the AI Research Scientist position. While a hybrid role based in San Francisco is preferred, we appreciate diverse talent from all locations and encourage applicants to explore the potential of contributing to our groundbreaking work in human-AI interaction.

Tavus promotes a culture of learning and professional development. As an AI Research Scientist, you will have opportunities to lead groundbreaking projects, collaborate with innovative minds, and shape the future of AI. Our flexible work environment, unlimited PTO, and supportive team culture will ensure you can thrive and grow in your career with us.

The team culture at Tavus is one of inclusivity, creativity, and collaboration. We believe in nurturing a family-like atmosphere where everyone's thoughts are valued and encouraged. As an AI Research Scientist, you will work alongside passionate individuals who are committed to making an impact and creating a diverse and dynamic workplace focused on collective success.

When answering this question, share specific examples from your projects that highlight your expertise with generative video models, particularly any notable challenges you overcame and the impact of your work on your previous team or organization.

Discuss your approach to establishing priorities, including how you assess project impact, deadlines, and collaborative input. Prepare to give examples of how this strategy has been successful in your past roles.

Highlight a specific advancement that aligns with Tavus' mission, and explain its significance and potential applications. Demonstrating passion and knowledge about the field will resonate with the interviewers.

Use the STAR method – Situation, Task, Action, Result – to clearly outline a leadership experience, illustrating your responsibility and how you addressed challenges to achieve a successful outcome.

Share the resources, journals, or conferences you regularly engage with, emphasizing your proactive approach to staying informed and how you apply this knowledge in your work.

Articulate your vision for generative models in the context of human-AI interaction, incorporating examples of potential applications and how they can bridge the gap between technology and the human experience.

Provide insights into your communication strategies and how you encourage collaboration, addressing how you ensure all team members contribute effectively to achieve project goals.

Outline your approach to software development, including version control, documentation, and testing, and explain how these practices ensure the quality and reproducibility of your research outcomes.

Discuss trends that excite you regarding human-AI interaction, focusing on the potential for enhanced communication and the role of technology in fostering authentic connections.

Make sure to convey your passion for Tavus' mission and culture, discussing how your skills and values align with the company’s objectives and how you see yourself making a meaningful contribution.