Teleo is revolutionizing material moving industries by turning heavy equipment into supervised autonomous machines. Backed by Y Combinator.
About the role
This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
What they're looking for
- M.S. or higher in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field
- 3+ years in applied ML with large-scale datasets
- Strong Python + PyTorch
- Experience shipping perception or ML systems into production
- Systems thinker: understands data, models, infra as one system
- Auto-annotation techniques like VLM-based labeling
More about this role
Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.
Teleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.
This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.
Build perception algorithms and architecture, fusing multiple sensor modalities and supporting an evolving set of novel object classes, in order to provide safe operations for heavy machinery working on construction and mining sites.
- Re-use, adapt and...
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