AIM delivers autonomous earthmoving for mining, construction, and defense. Transform your fleet with AI-powered machines that maximize productivity and safety. Backed by General Catalyst and Khosla.
About the role
You’re an engineer who loves solving difficult perception problems where machine learning meets the physical world. You have experience building production machine learning systems that operate on real hardware, not just in research environments. You understand how perception algorithms behave under real-world constraints such as sensor noise, environmental variability, limited compute, and incomplete data.
What they're looking for
- 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)
- Excellent grasp of machine perception methods in 2D and 3D (depth sensing)
- Experience with perception sensor calibration techniques (camera, lidar, radar, etc.)
More about this role
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. Learn more about AIM here.
You’re an engineer who loves solving difficult perception problems where machine learning meets the physical world.
You have experience building production machine learning systems that operate on real hardware, not just in...
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