About Us
Agtonomy is pioneering advanced automation and AI solutions to transform agriculture and beyond. Initially focused on specialty crops, our TeleFarmer™ platform addresses labor-intensive needs with automation, turning conventional equipment into autonomous machines. By partnering with leading manufacturers like Doosan Bobcat, we integrate smart technology into tractors and other machinery, enhancing safety and efficiency. As we expand into ground maintenance and other industrial applications, our expert team continues to address key challenges with labor shortages, sustainability and profitability across various industries.
About the Role
As a Perception / Machine Learning Engineer on the Autonomy Team, you will play a key role in solving challenging perception problems in outdoor vehicle automation. Leveraging your experience, you will implement state-of-the-art ML perception techniques to improve how Agtonomy’s tractors perceive and understand the environments where they operate. You will work closely with embedded, localization, and planning engineers on the team to design and evolve the upstream and downstream interfaces of the perception system. This role is perfect for someone who loves implementing ML to tackle real world problems, and is excited about applying their experience to make robots perceive in rugged, agricultural environments.
Benefits:
• 100% covered medical, dental, and vision for the employee (cost plus partner, children, or
family is additional)
• Commuter Benefits
• Flexible Spending Account (FSA)
• Life Insurance
• Short- and Long-Term Disability
• 401k Plan
• Stock Options
• Collaborative work environment working alongside passionate mission-driven folks!
Our interview process is generally conducted in five (5) phases:
1. Phone Screen with People Operations (30 minutes)
2. Video Interview with the Hiring Manager (45 minutes)
3. Coding Challenge and Technical Challenge (1 hour with an Autonomy Engineer)
4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 45 minutes)
5. Final Interviews (CEO, CFO, VP of Engineering, 30 minutes each)