Computer Vision ML Engineer for Agricultural Robots

Kilter; Langhus; On-site; NOK 900,000 - 1,100,000; Full time

Benefits offered by this job

Parking and charging facilities for EV

Competitive salary

Options programme

Job summary

Kilter is building the AX-1 agricultural robot and applying AI to weed control to reduce herbicide use and boost yields. We are hiring a Machine Learning Engineer to develop, train and deploy ML and computer vision solutions for real-world farming.

You will work across ML, CV and software engineering, turning data into production-ready models and integrating them into robot software on fielded systems.

Qualifications

• Prof experience developing and deploying ML models.
• Strong Python skills with PyTorch or TensorFlow.
• Understanding of computer vision and image data.

Responsibilities

• Develop, train and evaluate ML/CV models for agricultural applications.
• Work with image and sensor data from real-world fields to build datasets and pipelines.
• Improve model performance and robustness across crops, lighting, and weather.
• Deploy models into production software on robotic systems.
• Collaborate with robotics, software and product teams to translate needs into solutions.
• Design experiments and evaluation metrics, and communicate findings.

Skills

ML model development

Python

English communication

Tools

C++

Linux

ROS

Cloud infrastructure

Job description

Kilter is building the AX-1 agricultural robot and applying AI to weed control to reduce herbicide use and boost yields. We are hiring a Machine Learning Engineer to develop, train and deploy ML and computer vision solutions for real-world farming.

You will work across ML, CV and software engineering, turning data into production-ready models and integrating them into robot software on fielded systems.