2 months 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.
About Helsing
Helsing was founded to provide Artificial Intelligence to protect our democracies. Helsing works with partners in governments and across industry. Together, we develop systems that leverage AI and autonomy to provide autonomous mass that is sovereign, scalable and affordable. We’re looking for people with their heart in the right place, who share our conviction that liberal democratic values are worth protecting, for ourselves and for future generations.