Senior / Staff Machine Learning Engineer, Perception

Senior / Staff Machine Learning Engineer, Perception

At Agtonomy, we're not just building techwe're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkersengineers, innovators, and industry expertswho thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.

What You'll Do

• Develop computer vision and machine learning models for real-time perception systems, enabling tractors to identify crops, obstacles, and terrain in varying unpredictable conditions.
• Build sensor fusion algorithms to combine camera, LiDAR, and radar data, creating robust 3D scene understanding that handles challenges like crop occlusions or GNSS drift.
• Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance.
• Design and test data pipelines to curate and label large sensor datasets, ensuring high-quality inputs for training and validation, with tools to visualize and debug failures.
• Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems.

What You'll Bring

What Makes You A Strong Fit

$180,000 - $250,000 a year

The US base salary range for this full-time position is $180,000 to $250,000 + equity + benefits + unlimited PTO.

Benefits include 100% covered medical, dental, and vision for the employee (partner, children, or family is additional), commuter benefits, flexible spending account (FSA), life insurance, short- and long-term disability, 401k plan, stock options, and a collaborative work environment working alongside a passionate mission-driven team.