16d 17h ago
Robotics Machine Learning Engineer
Exclaim Robotics·Robotics
🏢Hybrid
|SwitzerlandRobotics Machine Learning Engineer
Exclaim Robotics | Robotics
2 weeks agoHybrid
Full Time
Switzerland
Source not independently verified — confirm the company domain before applying.
Position:
Robotics Machine Learning Engineer
Company:
Exclaim Robotics
Location:
Switzerland, Zürich
Employment type:
Full Time
Work Arrangement:
Hybrid
Short Summary:
Exclaim Robotics is a small robotics company focused on building robots for critical infrastructure maintenance, starting with data centers. The role involves being the first machine learning engineer, working on training policies in simulation and real hardware.
Responsibilities:
- Train a privileged policy in simulation.
- Distill it into something that only gets to see what the robot can see.
- Close the gap on real hardware with residual RL or imitation from teleop demonstrations.
- Set up training, decide on data collection, and maintain experiments.
- Curate data to ensure effective policy training.
- Observe the robot in operation to identify training gaps.
Requirement:
- Experience training policies for physical systems or simulators.
- Depth in RL or imitation learning.
- Ability to build training pipelines.
- Proficiency in simulators like Isaac Sim or MuJoCo.
- University-level degree in a related field preferred.
Benefits:
- Opportunity to work in an early-stage start-up environment.
- Close collaboration with a small team.
- A culture that values feedback and problem-solving.
- Flexibility in tasks and responsibilities.
Robotics Machine Learning Engineer
Company:
Exclaim Robotics
Location:
Switzerland, Zürich
Employment type:
Full Time
Work Arrangement:
Hybrid
Short Summary:
Exclaim Robotics is a small robotics company focused on building robots for critical infrastructure maintenance, starting with data centers. The role involves being the first machine learning engineer, working on training policies in simulation and real hardware.
Responsibilities:
- Train a privileged policy in simulation.
- Distill it into something that only gets to see what the robot can see.
- Close the gap on real hardware with residual RL or imitation from teleop demonstrations.
- Set up training, decide on data collection, and maintain experiments.
- Curate data to ensure effective policy training.
- Observe the robot in operation to identify training gaps.
Requirement:
- Experience training policies for physical systems or simulators.
- Depth in RL or imitation learning.
- Ability to build training pipelines.
- Proficiency in simulators like Isaac Sim or MuJoCo.
- University-level degree in a related field preferred.
Benefits:
- Opportunity to work in an early-stage start-up environment.
- Close collaboration with a small team.
- A culture that values feedback and problem-solving.
- Flexibility in tasks and responsibilities.
Required Languages
🇬🇧 English