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Ready to board a startup during launch? Are you crazy about machine learning, computer vision, RCNNs and hyperparameter tuning? And do you have a weak spot for broccolis? Then this is just for you!
VanBoven, an AI-in-Agriculture startup, is looking for a machine learning expert that can strengthen our analysis team to create the world’s best agricultural machine vision for drones imagery. You will be part of a small team of machine learning experts, giving you the opportunity to develop and execute your vision.
What we ask of you
Don’t tick all the boxes? Don’t worry too much! As long as you are willing to learn, we are willing to invest in you.
What you will be doing
What we offer
About VanBoven
VanBoven is a Dutch Agri-Tech startup in The Hague founded in 2018 by TU Delft and Wageningen University alumni. VanBoven provides farmers with accurate harvest predictions, based on drone-imagery and other sources of information. Using machine learning, VanBoven can identify and analyze each and every single plant in fields spanning many football fields.
VanBoven has an office in The Hague, on walking distance from Den Haag Holland Spoor station. There we develop our product, establish our business strategy, do sales and recruit new team members. Together we are working on a mission to change the agricultural world for the better. VanBoven currently has a team of 8 people and a flat organizational structure.
Even though we are a startup, VanBoven is by no means a playing ground – we have a validated business case, sufficient financing, a handful of big farming customers, partnerships with universities and a commitment to our investors and partners. It's serious business.
Computer Vision Challenges
We use algorithms to analyze agricultural drone imagery. Our algorithms can identify and determine the physiological traits of every single plant in fields with over 150k plants. For this we develop Computer Vision algorithms using deep learning approaches.
As a machine learning engineer you will extend the capabilities of these algorithms. More specifically: we are moving from plant detection to actual vegetable detection. Our algorithms should be able to distinguish the broccoli or cabbage from the plant from which it grows. In the future this could be extended even further, detecting quality problems or diseases in an early stage in the field.
We are super excited about the progress we are making in this field! If you are interested we’d love to give you a demo of our algorithms and the challenges we still have to overcome.
Your day at VanBoven
As a developer you will have a desk at our office in The Hague together with a young and motivated team. Working hours are flexible and working remotely is always an option. You will participate in our weekly technical meetings to make sure you're aligned with the other engineers. In the end we're all working on the same product.
Interested?
I’d love to show you our office and tell you more about what we do. I can show you some examples of what our algorithms are currently capable of, and the challenges we are facing. Please contact me (Kaz) by phone or mail so we can schedule a call or appointment. You can reach me at +31 6 38 31 25 58 or kaz@vanboven-drones.nl
Bij VanBoven werk je aan een duurzame toekomst voor de land- en tuinbouw waarin data, drones en machine learning een belangrijke rol spelen. VanBoven analyseert agrarische drone-opnamen en past machine learning algoritmen toe om de oogst per individuele plant te voorspellen. De inzichten die hieruit volgen worden overzichtelijk aan de boer én zijn afnemers getoond waarmee de gehele waardeketen, van 'farm to fork', wordt geoptimaliseerd.
Tijdens mijn stage wilde ik graag leren werken met Python. Ik kreeg de ruimte om, samen met medeoprichter Eric, een opdracht vast te stellen waarin ik mezelf kon ontwikkelen op dat gebied. Zo heb ik geleerd wat ik wilde én een leuke tijd gehad.
Bij VanBoven wordt er naar je geluisterd. Het team staat open open voor een andere invalshoek of nieuwe aanpak. Zo krijg ik de ruimte zelf te bepalen welke oplossing het best is en die ook uit te voeren.
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