What are the responsibilities and job description for the Postdoctoral Researcher, Embodied AI (PhD) position at Meta?
Summary:
Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as deep learning, graphical models, reinforcement learning, perception, natural language processing, robot control and representation learning. The ideal candidate should have a keen interest in producing new, open science to make embodied agents more intelligent. Postdoc positions are one to two year fixed-term positions.
Required Skills:
Postdoctoral Researcher, Embodied AI (PhD) Responsibilities:
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence (e.g. robots, egocentric personal assistants).
- Invent/improve novel data-driven paradigms for embodied intelligence.
- Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, collaboration with humans) in human environments given natural-language instructions, like "clean up the house", or "where are my glasses.
- Develop the next generation of simulation platforms for embodied AI research (e.g. AI Habitat).
- Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence.
Minimum Qualifications:
Minimum Qualifications:
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CORL), or Computer Vision (CVPR, ICCV, ECCV).
- 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.
- Experience in robotics research areas like task and motion planning, embodied AI, human-robot interaction, and sim-to-real.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications:
Preferred Qualifications:
- 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 solving complex problems and comparing alternative solutions, trade-offs, and diverse 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.
Public Compensation:
$116,000/year to $168,000/year benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law
Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as deep learning, graphical models, reinforcement learning, perception, natural language processing, robot control and representation learning. The ideal candidate should have a keen interest in producing new, open science to make embodied agents more intelligent. Postdoc positions are one to two year fixed-term positions.
Required Skills:
Postdoctoral Researcher, Embodied AI (PhD) Responsibilities:
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence (e.g. robots, egocentric personal assistants).
- Invent/improve novel data-driven paradigms for embodied intelligence.
- Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, collaboration with humans) in human environments given natural-language instructions, like "clean up the house", or "where are my glasses.
- Develop the next generation of simulation platforms for embodied AI research (e.g. AI Habitat).
- Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence.
Minimum Qualifications:
Minimum Qualifications:
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CORL), or Computer Vision (CVPR, ICCV, ECCV).
- 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.
- Experience in robotics research areas like task and motion planning, embodied AI, human-robot interaction, and sim-to-real.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications:
Preferred Qualifications:
- 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 solving complex problems and comparing alternative solutions, trade-offs, and diverse 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.
Public Compensation:
$116,000/year to $168,000/year benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law
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