Latinxinai
Research Scientist - Reinforcement Learning
Latinxinai - Cambridge, Massachusetts, us, 02140
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Overview
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Research Scientist - Reinforcement Learning
Robotics and AI Institute
Full-time
On-site
Cambridge, Massachusetts, United States
Technology
Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
We aim to advance athletic intelligence to new heights by leveraging simulation-based methods like Reinforcement Learning, augmenting them with model information.
Reinforcement Learning Research Scientists
will have proven hands-on research or industry experience focusing on one or more of these key areas: Learning-based locomotion, loco-manipulation, or ultra-mobile systems. Having practical hardware experience is essential for this role. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!
Requirements
MS / PhD or equivalent industry experience in robotics, computer science, or related fields 6+ years of experience in research and development Ability to demonstrate technical proficiency in Reinforcement Learning, Control, Robotics, or Imitation Learning Experience with sim-to-real for robotic hardware specifically legged robots or highly dynamic mobile vehicles. Experience in working with perception-based control Advanced programming skills in Python or C++ Expertise with deep learning frameworks such as PyTorch and robotic simulation Proven track record in top-tier conferences and journals in Machine Learning, Robotics, Control, or related fields
Bonus
Knowledge of Model Predictive Control Experience in combining model-based and data-driven approaches Experience in working with Isaac-Gym, Isaac-Sim, or Orbit Experience in working with ROS or ROS2 Experience with Docker, cloud computing, or similar applications Experience with parallel programming (e.g., CUDA)
These attributes are great to have but not required. Candidates who lack these should not be discouraged from applying.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries Research Services Referrals increase your chances of interviewing at Latinx in AI (LXAI) by 2x Sign in to set job alerts for “Research Scientist” roles.
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Research Scientist - Reinforcement Learning
Robotics and AI Institute
Full-time
On-site
Cambridge, Massachusetts, United States
Technology
Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
We aim to advance athletic intelligence to new heights by leveraging simulation-based methods like Reinforcement Learning, augmenting them with model information.
Reinforcement Learning Research Scientists
will have proven hands-on research or industry experience focusing on one or more of these key areas: Learning-based locomotion, loco-manipulation, or ultra-mobile systems. Having practical hardware experience is essential for this role. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!
Requirements
MS / PhD or equivalent industry experience in robotics, computer science, or related fields 6+ years of experience in research and development Ability to demonstrate technical proficiency in Reinforcement Learning, Control, Robotics, or Imitation Learning Experience with sim-to-real for robotic hardware specifically legged robots or highly dynamic mobile vehicles. Experience in working with perception-based control Advanced programming skills in Python or C++ Expertise with deep learning frameworks such as PyTorch and robotic simulation Proven track record in top-tier conferences and journals in Machine Learning, Robotics, Control, or related fields
Bonus
Knowledge of Model Predictive Control Experience in combining model-based and data-driven approaches Experience in working with Isaac-Gym, Isaac-Sim, or Orbit Experience in working with ROS or ROS2 Experience with Docker, cloud computing, or similar applications Experience with parallel programming (e.g., CUDA)
These attributes are great to have but not required. Candidates who lack these should not be discouraged from applying.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries Research Services Referrals increase your chances of interviewing at Latinx in AI (LXAI) by 2x Sign in to set job alerts for “Research Scientist” roles.
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#J-18808-Ljbffr