At Meta, the business problem is to enable AI to perceive what is inaccessible through vision, build richer world models, and interact with the real world, with the goal of reaching advanced machine intelligence.
Requirements
- Experience in deep learning frameworks (such as pytorch, tensorflow), C, C++, Python
- Experience in robotics frameworks like ROS, along with experience working with robot simulations and hardware
- 2+ years of industry experience in relevant robotics related research areas, such as: action-conditioned world models, task and motion planning, robotic control, manipulation, navigation, or generally embodied AI
- Experience building systems based on machine learning and/or deep learning methods
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Research experience in machine learning, computer vision, representation learning, optimization, statistics, applied mathematics, or data science
Responsibilities
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
- Conduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing functionality on robot hands
- Design and conduct experiments, analyze data, and document the findings in the form of technical reports and publications
- Collaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findings
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD degree in the field of Artificial Intelligence, Robotics, a related field, or equivalent practical experience
- 2+ years of industry experience
- Ability to work and communicate cross functionally in a team environment
- Individual compensation is determined by skills, qualifications, experience, and location
