Research Scientist Intern, Robotic Manipulation Modeling and Control (PhD)
Meta
Research Scientist Intern, Robotic Manipulation Modeling and Control (PhD)
Job Description
At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on modeling & control policies for dexterous robotic manipulation. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Locations
- Redmond, WA, USA
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
8,000,000 - 12,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- robotic controlintermediate
- machine learningintermediate
- human-robot interactionintermediate
- modelingintermediate
- control policiesintermediate
- dexterous robotic manipulationintermediate
Required Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Robotics or relevant technical field Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way Experience with RoS, Python, PyTorch or JAX, or other related languages Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar Experience with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory Experience working with robot manipulation Familiarity with modern control policies like reinforcement learning, imitation learning, and large behavioral models Intent to return to degree-program after the completion of the internship/co-op Experience working and communicating cross functionally in a team environment (experience)
Responsibilities
- Conduct collaborative research on developing control policies for a robotic hand system. Develop accurate models of robotic systems to enable control policy development and evaluation in simulation studies. Implement state-of-the-art robotic control policies to enable dexterous manipulation capabilities, and develop pipelines to benchmark and test the performance of these control policies. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
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Research Scientist Intern, Robotic Manipulation Modeling and Control (PhD)
Meta
Research Scientist Intern, Robotic Manipulation Modeling and Control (PhD)
Job Description
At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on modeling & control policies for dexterous robotic manipulation. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Locations
- Redmond, WA, USA
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
8,000,000 - 12,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- robotic controlintermediate
- machine learningintermediate
- human-robot interactionintermediate
- modelingintermediate
- control policiesintermediate
- dexterous robotic manipulationintermediate
Required Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Robotics or relevant technical field Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way Experience with RoS, Python, PyTorch or JAX, or other related languages Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar Experience with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory Experience working with robot manipulation Familiarity with modern control policies like reinforcement learning, imitation learning, and large behavioral models Intent to return to degree-program after the completion of the internship/co-op Experience working and communicating cross functionally in a team environment (experience)
Responsibilities
- Conduct collaborative research on developing control policies for a robotic hand system. Develop accurate models of robotic systems to enable control policy development and evaluation in simulation studies. Implement state-of-the-art robotic control policies to enable dexterous manipulation capabilities, and develop pipelines to benchmark and test the performance of these control policies. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Tags & Categories