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Home›Jobs›Agtonomy›Senior/Staff Machine Learning Engineer, Perception
Agtonomy

About Agtonomy

Empowering farmers with affordable autonomous technology

👥 21-100 employees📍 SoMa, San Francisco, CA💰 $73m
B2BSustainabilityManufacturingElectric VehiclesAgricultureSaaSAutomation

Key Highlights

  • Raised $73 million in Series A funding
  • Headquartered in SoMa, San Francisco, CA
  • Offers autonomous solutions for local farmers
  • Customer pilot program expanded in 2023

Agtonomy is revolutionizing the agriculture sector with its autonomy and tele-assist platform designed for agricultural vehicles. Based in SoMa, San Francisco, Agtonomy focuses on transforming tractors and equipment into autonomous machines, catering primarily to local farmers. The company has raise...

🎁 Benefits

Agtonomy offers 100% coverage for medical, dental, and vision insurance for employees, along with commuter benefits, a Flexible Spending Account (FSA)...

🌟 Culture

Agtonomy prioritizes the needs of local farmers, providing affordable autonomous solutions that cost around $50,000, significantly lower than typical ...

🌐 WebsiteAll 13 jobs →
Agtonomy

Senior/Staff Machine Learning Engineer, Perception

Agtonomy • South San Francisco, CA

Posted 3 months ago🏛️ On-SiteSeniorLeadMachine learning engineer📍 South san francisco💰 USD180,000 - USD250,000 / year
Apply Now →

Job Description

About Us

At Agtonomy, we’re not just building tech—we’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 thinkers—engineers, innovators, and industry experts—who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.

About the Role

We’re looking for a skilled software engineer to build and refine perception algorithms that give our autonomous tractors human-like awareness in rugged environments. You’ll develop computer vision and machine learning systems to process noisy data from cameras, LiDAR, and radar, enabling tractors to navigate through any type of dirty mess it may find itself in. This role is hands-on: you’ll write production-grade software, optimize models for embedded hardware, and test your work on real tractors at operating farms all over the world. Working closely with team members across the autonomy stack, you’ll own critical pieces of our perception stack, driving innovations that make our systems generalized, safe and reliable.

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