Machine Learning Researcher (Humanoid Robots)

About Us

Our vision is clear : to engineer and innovate robotics that not only enhance but redefine dexterity. As a Robotics Scientist within our ranks, you'll be tapping into the most cutting-edge methods, developing training systems, and implementing algorithms that bring robotic manipulation into the realm of art.

The Role :

In your role as an ML Scientist, Robotic Manipulation , you'll craft the future with your expertise. Your day-to-day will be a blend of pioneering research and hands-on implementation.

You'll not only develop the algorithms that power our robots but also oversee their performance in simulations and guide them through their paces in the real world.

Responsibilities :

• Design and improve upon state-of-the-art Reinforcement Learning (RL) and Imitation Learning (IL) algorithms for practical robotic applications.
• Keep pace with the frontier of RL / IL research, especially as it applies to robotics.
• Spearhead research initiatives that promise transformative advancements in ML and robotics.
• Enhance RL / IL learning processes with an eye on metrics that matter : sample efficiency, speed, and scalability.
• Architect RL / IL training and data collection systems that seamlessly transition from digital to physical realms.

Experience and Expertise :

Your path to becoming an ML Scientist has been rigorous :

• A Ph.D. in a field that’s at the heart of our work, like Machine Learning, Computer Science, or Applied Mathematics.
• A minimum of 5 years in the trenches of robotic manipulation, both in digital simulations and with robots that exist in the steel and circuits of our reality.
• Hands-on practice in applying RL / IL methods with a particular focus on the tangible challenges of real-world robotics.
• 4 years of developing large-batch, parallel simulations for RL, proving your mettle in the virtual proving grounds of AI.
• Demonstrated success in continual learning and sim-to-real transfers that polish our robotic prowess to perfection.

Skills :

• Proficient in Python 3.8+, PyTorch, TensorFlow, and ROS2.
• Solid experience with Atlassian suite or equivalent tools like GitLab.

Traits :

• A relentlessly positive attitude, tempered with the patience and attention to detail required for solving complex problems.
• Strong leadership capabilities, guiding R&D efforts with clarity and purpose.
• A zeal for tackling new challenges, paired with an unwavering tenacity.
• The enthusiasm to imbue machines with a touch of human-like intelligence.
• The skill to shepherd new functionalities from the drawing board to deployment.

Keywords : Dexterous Manipulation, Robotic Manipulation, Reinforcement Learning, Imitation Learning, Robotics, Machine Learning, Python, PyTorch, TensorFlow, ROS2, Algorithm Development, Sim-to-Real, Continual Learning, Large-Batch Simulations.