about 3 hours ago
Berlin, Germany +2 moreMid Level / Senior
Responsibilities
- Develop and benchmark scene matching and geo-registration pipelines under challenging conditions.
- Build and evaluate SLAM, visual odometry, or structure-from-motion systems for real-world applications.
- Research and adapt state-of-the-art geometric deep learning methods to specific use cases.
- Collaborate with product teams to integrate localization and reconstruction outputs into decision-making pipelines.
Requirements
- Hold an MSc in computer science, machine learning, robotics, or a related field.
- Have hands-on experience developing localization, scene matching, or 3D reconstruction systems.
- Be familiar with modern approaches to geometric computer vision and deep learning.
- Possess solid software engineering skills in Python and experience deploying AI software to production.
- Have excellent communication skills for reporting and presenting research findings.
- Be passionate about current research in geometric deep learning, SLAM, and 3D vision.
Benefits
- Competitive salary and VSOP options.
- Relocation support up to €2,500 and 4 weeks temporary accommodation.
- €500/£450 yearly learning allowance.
- Gym membership and mental health support.
- Regular company events and monthly social allowances.
- 22 weeks fully paid parental leave for primary caregivers and 6 weeks for secondary caregivers.
- 5 days of paid family emergency leave and 100% remote work option during pregnancy.