Responsibilities

• Conduct applied research in the field of AI, focusing on Physical AI and intelligent agents.
• Develop and implement vision-language-action models for robotic control applications.
• Utilize reinforcement learning and imitation learning techniques to enhance AI capabilities.
• Collaborate with cross-functional teams to design and execute experiments in simulated and real-world environments.
• Oversee the scalable collection, generation, and curation of multimodal data to support research initiatives.
• Contribute to the optimization of algorithms for performance and efficiency in AI applications.
• Stay updated with the latest advancements in machine learning and AI technologies to ensure competitive edge.

Requirements

• Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Proven experience in machine learning, particularly in reinforcement learning and computer vision.
• Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with robotic systems and their integration with AI models is highly desirable.
• Demonstrated ability to work collaboratively in a team environment and communicate complex ideas effectively.
• Strong analytical and problem-solving skills, with a passion for innovation and technology.

Benefits

• Competitive salary and equity options in a publicly traded company.
• Flexible working hours and the possibility of remote work.
• Access to state-of-the-art technology and resources for research and development.
• Comprehensive health and wellness benefits.
• Opportunities for professional growth and continuous learning.
• Dynamic and inclusive company culture with a strong emphasis on teamwork and collaboration.