Perception & SLAM Machine Learning Engineer
Summary
AIM is a mission driven company focused on terraforming this planet – reverse negative effects of climate change. We are growing the team with people passionate about landing a groundbreaking product category. If you enjoy a fast paced entrepreneurial environment and want to advance a cutting edge embodied AI technology that is enabling the next industrial revolution, we’re excited to meet you! AIM has been built by a team of engineers who landed cutting-edge systems at Google, Waymo, SpaceX, Tesla, Apple, Dropbox, Stripe, Google[x] and Microsoft, and are backed by General Catalyst, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC, among other great allies.
About The Role
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.)
Why AIM?
Joining AIM, You Will
- Solve a massive set of real-world problems that require scalable earth moving
- Accomplish that via deploying and expanding cutting edge tech
- Run your workstreams with the largest degree of autonomy
- Have an opportunity for rapid growth and a large voice on the direction of the company
- Receive company funded medical, dental, vision, 401k, life insurance, gourmet food & perks
- Experience a strong onsite collaboration (AIM offices, labs and proving grounds on the east side of the Greater Seattle area)
- Have an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more)
If you are interested in applying please send an updated resume directly