AI & Computer Vision Engineer

Brightlands
Venlo, Netherlands
15 days ago
Apply on www.werk.nl
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€1,700.0
Working hours
Regular working hours
Languages
Dutch
Job source

Tech stack

Artificial Intelligence Computer Vision Object Detection Pytorch Deep Learning Information Technology ONNX (Open Neural Network Exchange) Format Hardware Acceleration TensorRT

Job description

AI & Computer Vision Engineer Luxeed Kruimelpad - AI & Computer Vision Engineer LUXEED Robotics B.V. is a Dutch early-stage AgTech startup that uses lasers and AI to burn weeds with high precision, ZERO herbicides needed. We’re making lasers more affordable and accessible to farmers to help them transition to organic and regenerative weeding. LUXEED has received funding and recognition from various national and international players. Please watch the following video to know more about the robot. Do you want to be part of a cutting-edge technology that will eliminate the use of herbicides by zapping weeds with lasers? This is a remote and task-based opportunity where your problem-solving and critical skills, communication, and ability to adapt will be highly challenged. We expect around 40 hrs/week. Compensation Starting at € 1,700/month. Responsibilities

  • Design, train, and evaluate deep learning models in PyTorch for tasks such as object detection, segmentation, regression, and keypoint tracking.

  • Work with state-of-the-art architectures and adapt them to our agricultural use cases.
  • Optimize models for embedded deployment using TensorRT, ONNX, and hardware accelerators.
  • Build efficient training and inference pipelines, with an emphasis on speed, accuracy, and robustness.
  • Conduct experiments, manage datasets, and implement preprocessing/augmentation strategies to improve model generalization.

  • Collaborate with robotics and software teams to integrate models into real-time robotic control systems.
  • Track metrics and performance in production, iterating to improve reliability in field conditions.

Requirements

  • Bachelor’s or Master’s in Computer Science, AI, Robotics, or related field.
  • Strong hands-on experience with PyTorch and deep learning model development.
  • Background in computer vision tasks: detection, segmentation,…

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.werk.nl
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

4:52 min

Essential phases in building and refining language models

Anshul Jindal Anshul Jindal +1 · World Congress 2025

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:15 min

Open-source community and machine learning frameworks

Gian Marco Iodice Gian Marco Iodice · World Congress 2025

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all