Visual AI Data Engineering - internship
ANYbotics
The Opportunity
You’ll join our Solutions team, where we push the limits of autonomous robotic inspection intelligence. You’ll build cutting-edge sensing technologies to tackle the toughest real-world deployment challenges. Collaborating with engineers and partners, you’ll assess new technologies, design proof-of-concept, and swiftly transfer promising ideas to our product. If you thrive on discovery, hands-on experimentation, and know your work can redefine robotics and industrial inspections, this role lets you make a real difference — for our customers and the robotics community.
The Market & Our Technology
ANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics mechanical hardware.
About Us
ANYbotics is a leading robotics company specializing in advanced autonomous systems. With a successful Series B financing round recently closed, we are poised for rapid growth and international expansion. Our mission is to revolutionize the robotics industry through cutting-edge technology and innovation. As we embark on this exciting journey, we are seeking a dynamic person to join our team and help us shape the future of autonomous robotic inspections.
Your Contributions
- Data Curation: Mine and curate a "Golden Dataset" featuring the most challenging edge cases and rare "long-tail" events
- Schema Design: Architect a unified, multidimensional labeling taxonomy that defines the ground truth for different inspection modalities across diverse industrial environments
- Evaluation Engine: Develop a Python-based evaluation framework to automatically quantify model reliability across different inspection modalities
Your Profile
- Pursuing a Bachelor’s or Master’s degree in robotics, artificial intelligence, data engineering or similar
- Strong understanding of machine learning and computer vision
- Proficient in Python and data science libraries like Pandas, NumPy, Scikit-learn
- Familiar with OpenCV and computer vision metrics (mAP, IoU)
- Strong grasp of statistical fundamentals (data distribution, sampling bias, and variance)
- Team player with a proven ability to work autonomously
- Excellent communication skills in English both verbally and in writing
Bonus Points
- Hands-on experience with robotic systems
- Experience with data versioning tools (e.g., DVC, W&B Artifacts) or data labeling platforms (e.g., CVAT, Labelbox)
- Let us know of any relevant extra-curricular activities (e.g. student teams, personal hobbies, etc) :)
3000 - 3000 CHF a month
