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.)