You are a passionate software engineer who wants to create value for environment, someone who is eager to push boundaries to constantly improve the product you are working on? If you are excited about automation of data handling and complex pipeline building and enjoy working in a diverse, fun, caring, and progressive environment, come join us in our mission of helping farmers to reduce pesticide use. You will work with an innovative team of professionals to provide a data driven solution that enables growers to combine environmental protection with economical improvement.

Your responsibilities

• automate data flow between several steps in the evaluation process, including monitoring and reporting
• take care of in-house modules within the data pipeline (data arrival, geo-location engine, AI-engine, map creation, data storage, annotation module)
• take care of the underlying infrastructure (mostly Linux & AWS)
• contribute to the long-term product and short-term development roadmaps

Technical skills you bring

• proficient knowledge of Python & its ecosystem
• competence in Django (web framework)
• good understanding of Linux and server infrastructures (esp. AWS)
• sound handling of collaboration tools and code versioning

Bonus points if you have…

• contact with agriculture (formerly)
• experience in handling large amounts of data
• practical exposure to parallel computing
• interest in industrial
• German speaking

What we offer

• high profile team that is driven by the pursuit of excellent results
• appreciative and supportive corporate culture: respectful treatment, compassionate communication, enabling and embracing diversity
• active ambition to become a technology leader in weed control decision support systems
• agile management
• hybrid office (Stuttgart) and flexible work schedule
• payed advanced training
• personal coaching and staff development events

You are studying computer vision or a related topic and want to create value for the environment? If you are excited about computer vision, and enjoy working in a diverse, fun, caring, and progressive environment, come join us in our mission of helping farmers to reduce pesticide use. You will work with an innovative team of professionals to provide a data driven solution that enables growers to combine environmental protection with economical improvement.

Your responsibilities

• set up experiments for AI weed detection
• prepare data sets for AI training
• improve our in-house annotation tool
• train and evaluate your own AI models for weed detection on image data (PyTorch + TensorFlow)
• automate training, result inspection, and inference (Linux & AWS)

Technical skills you bring

• proficient knowledge of Python & its ecosystem
• basics in computer vision, image processing, and neural networks
• good understanding of Linux and server infrastructures (esp. AWS)
• analytical way of thinking
• sound handling of collaboration tools and code versioning

Bonus points if you have…

• contact with agriculture (formerly)
• experience in handling large amounts of data
• practical exposure to parallel computing
• interest in industrial cameras and embedded systems
• German speaking

What we offer

• high profile team that is driven by the pursuit of excellent results
• appreciative and supportive corporate culture: respectful treatment, compassionate communication, enabling and embracing diversity
• active ambition to become a technology leader in weed control decision support systems
• agile management
• hybrid office (Stuttgart) and flexible work schedule
• staff development events

You are a passionate data scientist who wants to create value for environment, someone who is eager to push boundaries to constantly improve the AI models you created? If you are excited about computer vision and enjoy working in a diverse, fun, caring, and progressive environment, come join us in our mission of helping farmers to reduce pesticide use. You will work with an innovative team of professionals to provide a data driven solution that enables growers to combine environmental protection with economical improvement.

Your responsibilities

• design, train and squeeze AI models for weed detection on image data (PyTorch + TensorFlow)
• experiment with new approaches for weed detection
• take care of our in-house annotation tool
• automate training, result inspection, and inference (Linux & AWS)
• contribute to the long-term product and short-term development roadmaps

Technical skills you bring

• proficient knowledge of Python & its ecosystem
• competence in computer vision, image processing, and neural networks
• good understanding of Linux and server infrastructures (esp. AWS)
• analytical way of thinking
• sound handling of collaboration tools and code versioning

Bonus points if you have…

• contact with agriculture (formerly)
• experience in handling large amounts of data
• practical exposure to parallel computing
• interest in industrial cameras and embedded systems
• German speaking

What we offer

• high profile team that is driven by the pursuit of excellent results
• appreciative and supportive corporate culture: respectful treatment, compassionate communication, enabling and embracing diversity
• active ambition to become a technology leader in weed control decision support systems
• agile management
• hybrid office (Stuttgart) and flexible work schedule
• payed advanced training
• personal coaching and staff development events