Research Manager, Foundation Models
RunwayFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
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This information is not specified in the job description.
Required skills include fluency in Python, extensive experience in programming and algorithm design, strong mathematics skills, 5+ years with production ML pipelines, and at least 2 years in leadership. Expertise in areas like Large Language Models, Diffusion, Reinforcement Learning, or ML for Planning is also needed, along with a BS, MS, or PhD in computer science or related field.
The role involves fostering a culture of innovation and continuous improvement while managing and mentoring a team of managers and technical leads.
Strong candidates have 5+ years in production ML pipelines with 2+ years in leadership, fluency in Python, strong math and programming skills, and expertise in foundation models like LLMs, Diffusion, or RL. Bonus points for ML/Robotics publications and automotive experience.
Develops autonomous electric ride-hailing vehicles
Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.