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Working Student for AI Computer Vision (m/f/x)

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.

10 - 20 Stunden pro Woche
15.00€ pro Stunde

Was du machen wirst:

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

We are an international team of young, ambitious individuals who are passionate about increasing biodiversity and challenging the state of the art of weed control. It is not only the technical problems that enthuse and excite us, but also the objective of making weed control as environmentally friendly and resource-saving as possible. Embracing a high diversity of skills and cultures, curiosity and an urge for excellence drive us. Large-scale farms and leading companies of the agricultural industry work with us and want to use our unique technology for precise weed control on a global scale already. Though we are a very young company, we have built a strong reputation in the market — for us, this is just the beginning. We are leading the way as pioneers in precision weed control and will actively shape a still developing but rapidly growing market with our solutions. Only with your contribution and expertise can we reach the next level.

SAM-DIMENSION enables herbicide saving of up to 90 % for farmers, which helps them to reduce production costs and simultaneously significantly lowers unnecessary environmental burdens. Our in-house camera system for professional drones allows for high-resolution field mapping. The gathered images are processed in our AI algorithms to identify the weeds and locate them with a geo-position. By combining this data, we create application maps that are used on field sprayers, limits the use of chemicals to the unwanted weeds only.

Was wir bieten

  • >>> 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

Was wir erwarten

  • Eigener PC mit Internetzugang
  • Kommunikationsstärke
  • 6 bis 12 Monate relevante Erfahrung
  • Eingeschriebene/r Student/in an einer staatlich anerkannten Hochschule

Bewerben

Bist du der ideale Kandidat (m/w/d) für diese Stelle? Dann bewirb dich jetzt und wir werden dich so schnell wie möglich kontaktieren.

Extra Informationen

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 computer vision, deep learning, photogrammetry, or embedded systems
  • German speaking
Status
Inaktiv
Ausbildungsniveau
Andere, Hochschule/Universität
Standort
Stuttgart
Arbeitsstunden pro Woche
10 - 20
Jobart
Werkstudentenstelle, Home-Office
Gehaltsangabe
15.00€ pro Stunde
Verantwortlich für
AI experiments, data sets, annotation tool, automation
Tätigkeitsbereich
IT / Software-Entwicklung / Programmierung
Führerschein erforderlich?
Nein
Auto erforderlich?
Nein
Motivationsschreiben erforderlich?
Ja
Sprachkenntnisse
Englisch

Stuttgart | IT Stellenangebote | Werkstudentenstelle | Home-Office | Andere | Hochschule/Universität