AI Developer – Computer Vision / Machine Learning (m/f/d)

Your tasks

• Development, training, optimization and evaluation of machine learning and deep learning models for the visual recognition of plants and weeds
• Development and further development of computer vision algorithms for use under real field conditions
• Development and enhancement of training datasets and data pipelines for AI models
• Development and implementation of software modules for training, inference and model optimization
• Integration of AI models into our laser-based weed control system
• Conducting tests and validations in the laboratory as well as in the field
• Analysis and improvement of the performance and robustness of the models under real operating conditions
• Creation of technical documentation and execution of code reviews

This is what you bring with you

• Successfully completed studies in the field of computer science, machine learning, data science, robotics or comparable.
• Excellent knowledge of machine learning, deep learning, and computer vision.
• Good programming skills in Python, ideally also C/C++
• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, etc.)
• Experience in handling large datasets and data preparation
• Experience with Linux and Git
• Very good technical and mathematical understanding
• Analytical thinking skills as well as a structured and independent work style
• Teamwork skills and enjoyment of interdisciplinary collaboration
• good German and English skills

We offer

• Permanent position at Escarda Technologies GmbH
• Working on a highly innovative agritech technology with great future potential
• Plenty of creative freedom in a dynamic, technology-driven startup
• Flat hierarchies and short decision-making processes
• Collaboration with an interdisciplinary team of software developers, AI experts and engineers
• Flexible working hours and the possibility of partial remote work
• Working on the BIG Campus in Berlin with a canteen, gym and sports facilities
• Regular team events and company events

If you are interested in actively shaping the future of sustainable agriculture, we look forward to receiving your application!

Our team-oriented work methods involve up to three colleagues from your future team in the selection process. Therefore, we kindly ask you to enter your salary expectations exclusively in the designated, strictly confidential field within the application form.

contact

Stefanie Liebscher

Human Resources Officer