Data Scientist II, Fraud and Deep Learning
Socure
PythonPyTorchTensorflow
AI Engineer III
Agility Robotics
full-time
Posted on:
Origin: • 🇺🇸 United States • Oregon
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonPyTorch
About the role
- Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
- Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
- Design and implement new simulation environments and tasks to support training and deployment of control policies.
- Develop, design, and test imitation learning methods
- Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production
- Run experiments on humanoid robots and research and implement methods which can be transferred into production.
Requirements
- 3+ years of experience developing and deploying learning-from-demonstration
- Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
- Experience with modern learning-from-demonstration tools like DiffusionPolicy
- Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.
- Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software.
- Bonus Qualifications: Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
- Bonus Qualifications: Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
- Bonus Qualifications: Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
- Bonus Qualifications: Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
- Bonus Qualifications: Experience with writing performant, high quality software in C++
