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As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding robots in the field.
Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments
Own model optimization and deployment pipelines — ensuring high performance, reliability, and scalability across operational field deployments
Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment
Define best practices for experimentation, documentation, and model evaluation within the team
Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features
Mentor and provide technical guidance to mid-level and junior engineers
Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences
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Passion for building teams capable of solving uniquely interesting problems . Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry.
Leading the physical AI revolution in agriculture by making farmers more profitable and sustainable.
Visit company websiteJobs and hiring trendsUSD 140000-220000 yearly / year
Full-time
Mid · 2+ years experience
Onsite
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