UnderstandAI was founded in 2016 by Marc Mengler and Philip Kessler with the vision in mind to make AI accessible for everyone. To achieve this goal, UnderstandAI is solving the data problem of AI. The tooling and services provided by UnderstandAI enable our customers to get the right data, at the right quality and right quantity to make production grade AI products a reality.
Headquartered in Karlsruhe, our team has grown to more than 50 worker bees since 2016. We are looking forward to expanding our team. UAI will be a different company a few years from now because our team is going to change it for the better.
We can’t wait to see what kind of future you choose to build at UAI - so click on the apply now button and together we will solve the data problem of AI!
Push machine learning to its limits and help us create ground truth quality annotations and extract validation scenarios using machine learning
Integrate new deep learning algorithms into our product and improve existing approaches
Find the ideal balance between cutting edge research and high-quality code that runs in production
Help us scale our solutions to millions of images a day
relevant work experience in machine learning
University degree in Computer Science or related technical field
Competence and interest in applied machine learning
Practical experience with TensorFlow or similar machine learning frameworks, preferably on large-scale projects
Strong software engineering skills
Team player, eager to learn and hungry for new challenges
What we offer
A crucial role in a young, dynamic, and fast-growing team
A work environment that fosters trust, respect, and feedback
An onboarding buddy to integrate you smoothly into our team
Productivity and improvement time between the development sprints
A mentor helping you with your personal goals, technical progress in general and your software engineering skills in particular
Free snacks, drinks, and the option join activities like hiking, climbing or board game nights
Competitive salary, flexible working hours, work from home