Perception & SLAM Machine Learning Engineer
AIM is terraforming this planet with cutting-edge autonomy. We're seeking talented and passionate engineers to
join our team and advance the "eyes" of our next-generation earthmoving robots. You will play a critical role
in endowing these machines with the ability to perceive and understand their complex environments, ensuring
safe and efficient operation in challenging real-world conditions.
Responsibilities
- Advance AIM’s perception stack and sensor fusion algorithms
- This involves breaking new ground as earth moving machines don’t merely navigate on existing mapped roads
–
they modify and build the environment as they work which poses interesting novel challenges
- Research and development of state-of-the-art machine learning methods
- Comfortable with hands-on applications on machines deployed in the field
Qualifications
- Proven track record of deployed ML-based perception systems, ideally on autonomous vehicles
- Excellent grasp of machine perception methods in 2D and 3D (depth sensing)
- Real-world experience with localization and SLAM state-of-the-art methods
- Experience shipping production models
- Solid mathematical foundation of machine learning
- Excellent software development skills in python
- Proficiency in Tensorflow or PyTorch
- Creativity and curiosity for solving complex problems
- Ideal candidate will have additional experience in several of the following areas
- Reinforcement learning
- Robotics
- Radar based perception
- Point cloud processing
- Perception sensor calibration techniques (camera, lidar, radar, etc.)