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Perception and SLAM Machine learning Engineer
AIM Intelligent Machines
Seattle, USA
Full-time
Mid
Hybrid
Discovered 2 days ago
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About AIM Intelligent Machines
Curious if you want to terraform earth?
Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments. AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment. We have been automating this massive space with embodied AI and emerged as the market choice for ground engagement autonomy. Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC.
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
- Apply real-world experience with localization and SLAM state-of-the-art methods
Qualifications
- Core ML Fundamentals
- Experience designing, training, and evaluating machine learning models
- Strong understanding of the mathematics behind training (optimization, gradients, regularization, bias–variance tradeoff)
- Familiarity with training dynamics (overfitting, underfitting, convergence issues, data imbalance)
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