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Machine Learning Engineer at Agtonomy - ApplyBlast

Machine Learning Engineer

Agtonomy

3 months ago

South San Francisco, California, United States

Hybrid

Full Time

Senior

0 applicants

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About this role

The Machine Learning Engineer will develop real-time perception models and multi-modal sensor fusion systems for autonomous heavy machinery, turning noisy camera and LiDAR data into robust 3D scene understanding. The role involves building, optimizing, and deploying production-grade computer vision and machine learning software on resource-constrained hardware, and validating it on real machines worldwide.

Responsibilities

Develop real‑time perception models for open‑world obstacle and terrain understanding
Build multi‑modal fusion of camera and LiDAR into unified 3D/BEV representations
Optimize models for low‑latency inference on resource‑constrained hardware
Design auto‑labeling pipelines leveraging foundation models and distillation
Create data and evaluation pipelines to curate large multi‑sensor datasets

Skills

Qualifications

MS in Computer SciencePhD in Computer Science

About Agtonomy

agtonomy.com

Headquarters

San Francisco, California, United States

Company Size

11-50 employees

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Agtonomy delivers "Smart Automation Made Simple" for agriculture by combining autonomous electric vehicles, retrofit autonomy kits, and a cloud-based fleet management platform to automate repetitive farm tasks. Their solutions target specialty crop and row‑crop growers, enabling precision spraying, mowing, and data collection to reduce labor, inputs, and operating costs. Agtonomy provides its technology as an integrated hardware+software+operations offering (often via subscription/managed services) focused on safe, easy deployment and continuous field operations. Growers choose Agtonomy for simpler integration of autonomy, improved efficiency, and actionable farm insights.