You…
are responsible for further developing our detection network, which is crucial for the autonomous operation of our robots. You are an expert in state-of-the-art detection networks, machine-learning algorithms, and self-learning capabilities. You set up real-time feedback mechanisms to monitor and adjust detection performance in the field. You quickly process feedback from the field and translate it into concrete, practical improvements.
Additionally, you create a test environment to test new functionalities and improvements quickly. You work independently but maintain close contact with your product development and support colleagues. You ensure clear knowledge transfer and provide manuals and documentation of development steps and algorithms as needed. Furthermore, you contribute to the long-term AI strategy and roadmaps for future developments. You actively participate in technical meetings and brainstorming sessions to generate new ideas.
We…
have been working for years on autonomous weeding robots. The main goal is to make our robot remove weeds faster, more effectively, and as robust as possible. At Odd.Bot we realise that outdoor environments are a challenge for precise mechatronic machinery, but it's challenges like these that drive us forward. We want to make organic weeding the standard for all fields.
Life at Odd.Bot is also about working hard and playing hard. We always try to balance work and life. Our team is super proud of our achievements, which we like to celebrate as often as possible. As a group, we value time management, pragmatic/problem solving, flexibility, proper risk management, collaboration, planning, organisation, and teamwork.
Job requirements
Bachelor / Master work and thinking level, preferably in the direction of Artificial Intelligence, Data Science, Computer Science, or Robotics (At least a bachelor's degree)
At least 3 years of experience with machine learning, deep learning, and AI networks, preferably in a hands-on development role.
Experience with frameworks such as TensorFlow, PyTorch, or similar tools.
Experience with programming in Python.
Experience with autonomous systems or robots is a strong plus.
Fluent in English
Full-time position (36-40 hours)
Benefits:
Field trips
Opportunities for professional development and training
Team activities
Salary range: € 4.000 - € 6.000 with 8% holiday allowance
27 paid holiday days
Pension scheme
We are excited about this! And if you want to be our ally in our ambitious mission, click ‘Apply’ above