About AgResearch Labs

AgResearch Labs (ARL) is an agri-tech company building climate-smart clean-food infrastructure.

We develop farm technology, automation systems and digital platforms that help produce pesticide-free vegetables reliably and at scale. ARL has been recognised among India’s Top 100 DeepTech startups by NASSCOM.

As we scale Growize Farms and our in-house engineering capability, we are building advanced systems across computer vision, AI/ML, robotics and machine automation.

About the Role

We are looking for a Vision & Autonomous Systems Associate to build and deploy Computer Vision, AI/ML and autonomous systems for real-world farm and machine applications.

This is a hands-on role where models must work beyond the lab — on live machines, with real plants, changing environments and imperfect field conditions.

What You’ll Do

- Build Computer Vision and AI/ML systems for plant inspection, quality detection, sorting and machine automation.
- Train, test, optimise and deploy ML and Deep Learning models.
- Work on object detection, classification, segmentation and image-processing problems.
- Integrate cameras, sensors, AI models and software with physical machines.
- Contribute to autonomous systems including AMRs, drones and robotic machines.
- Work closely with Product, R&D;, Embedded and Farm Operations teams.
- Test systems in real farm conditions and continuously improve them using field data.
- Optimise models for reliability, latency and edge deployment where required.

What We’re Looking For

- 2–3 years of hands-on experience in Computer Vision, AI/ML, Robotics or Autonomous Systems.
- Degree or Diploma in Computer Science, AI/ML, Robotics, Electronics, Mechatronics or a related field.
- Strong programming skills in Python.
- Hands-on experience with OpenCV and ML / Deep Learning frameworks.
- Experience with object detection,



classification, segmentation or image processing.
- Basic understanding of cameras, sensors and hardware-software integration.
- Strong debugging and problem-solving ability.
- Builder mindset — you enjoy building, testing, breaking and improving systems.
- Willingness to relocate and stay full-time at ARL’s farm in Bangalore Rural.

Good to Have

- YOLO, PyTorch or TensorFlow.
- Raspberry Pi, NVIDIA Jetson or other edge-AI platforms.
- ROS / ROS2.
- AMRs, drones or mobile robotics.
- Experience deploying AI models on real machines.
- Exposure to agriculture or agri-tech applications.

What Success Looks Like

- Models move from training to reliable deployment on live machines.
- Vision systems perform consistently under changing farm-floor conditions.
- Camera, sensor and machine integration works with limited handholding.
- Models improve continuously as new field data becomes available.
- Systems are designed for real-world reliability, not just test-set accuracy.

What You’ll Get at ARL

- Competitive salary.
- Free accommodation at the farm.
- Opportunity to build real Computer Vision, AI and autonomous systems from the ground up.
- Hands-on exposure across AI, robotics, embedded systems, machines and farm operations.
- Direct collaboration with Product, R&D;, Operations and ARL leadership.
- Opportunity to grow with ARL’s next generation of automation and intelligent farm systems.

Location ARL Farm — Bangalore Rural

This is a full-time, in office role and requires staying at the farm. Accommodation will be provided.

How to Apply

Please complete the application form carefully and upload your latest resume.

Where requested, please share links to your GitHub, project portfolio, demos, papers, or deployed work.

Once you have completed all the questions, upload your latest resume in the same form and submit your application.

📌 Associate - Vision & Autonomous Systems (Bengaluru)
🏢 AgResearch Labs
📍 Bengaluru