Applied Scientist (Zurich Location)
Zurich
Research /
Full Time /
On-site
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.
Applied Scientists will work on research teams to help turn research into reality. If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!
Responsibilities
- Develop and implement new algorithms and machine-learning-based approaches on robots.
- Develop innovative hardware systems
- Creatively apply state-of-the-art techniques from both in-house and laboratories around the world to solve real-world problems.
- System integration (hardware, realtime OS, low-level SW)
- Promote quality and reliability through regular code reviews
- Field deployments, robot testing, data collection
Requirements
- BS, MS and PhD in computer science, robotics, electrical/mechanical/aerospace engineering, or a related field
- 3+ years of experience designing and developing software applications using C++ and Python in production environments
- Experience collaborating in large teams and large code base
- Experience working with mobile robots, machine learning, and other related applications
Bonus
- Experience with integrating complex hardware components, ensuring seamless operation across robotics platforms
- Experience with real-time operating systems, inter-process communication middleware technologies, and resource-sharing techniques for memory-constrained systems
- Experience with machine learning (reinforcement learning, imitation learning)
- Experience with machine learning toolkits (PyTorch, TensorFlow, Scikit-learn, etc)
- Experience with LLM/VLMExperience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)
- Experience with planning algorithms and robot autonomyExperience with robot perception
- Experience with controller design, dynamic modeling, and optimization techniques
- Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc)
- Experience with task planning (TAMP, STRIPS, MDPs, etc)
- Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)
- These attributes are great to have but not required for our candidates. 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.
