AI Researcher (Multimodal Perception Models)
TavusFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid, based in the Bay Area - San Francisco and Palo Alto.
This information is not specified in the job description.
Candidates need a track record in leading research that improves neural networks, experience in data-driven experiment designs and systematic analysis, and experience with large-scale distributed machine learning systems. Proficiency in Python, Jax, and Rust is required, with graphics engines and rendering techniques as an advantage.
The team is small, highly motivated, and focused on engineering excellence, with a flat organizational structure where all employees are hands-on, contribute directly to the mission, and leadership is given to those who show initiative and deliver excellence. Strong work ethic, prioritization skills, and communication skills are emphasized.
A strong application includes a CV and statement of exceptional work that highlight your track record in leading impactful research on neural networks and experience with large-scale ML systems, as the team reviews these during the initial application review.
AI tools for research and information retrieval
x.ai develops AI tools aimed at enhancing research and information retrieval. Their main product, Grok, is designed to answer a variety of questions, including unconventional ones that other AI systems might not handle. Grok provides real-time knowledge, making it a useful resource for researchers, academics, and professionals who need quick access to relevant information. Unlike competitors, Grok stands out for its ability to suggest questions and provide nuanced answers, catering to a diverse range of inquiries. The goal of x.ai is to empower users by streamlining their research processes and fostering innovation through reliable information access.