At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.

To enable AI to perceive what is inaccessible through vision, build richer world models, and interact with the real world, we're focused on the path towards reaching advanced machine intelligence.

To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics and hardware to machine perception, artificial intelligence, and operating systems. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.FAIR Robotics - AI Research Scientist 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

Minimum Qualifications

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 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 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

Preferred Qualifications

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, RSS, CoRL), and Computer Vision (CVPR, ICCV, ECCV)
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience building systems based on machine learning and/or deep learning methods
Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
Experience working and communicating cross functionally in a team environment
Research experience in machine learning, computer vision, representation learning, optimization, statistics, applied mathematics, or data science

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$147,000/year to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.