2 months ago
Berlin, Germany +2 moreSenior
Responsibilities
- Develop and benchmark scene matching and geo-registration pipelines for challenging illumination, viewpoint, seasonal, and sensor conditions.
- Build and evaluate SLAM, visual odometry, and structure-from-motion systems for deployable platforms.
- Research and adapt geometric deep learning, feature matching, local feature descriptor, and learned place-recognition methods.
- Develop computer vision models and pipelines and evaluate them through rigorous experiments and real-world benchmarks.
- Adapt AI systems to downstream hardware, compute constraints, and operational requirements.
- Integrate localisation and reconstruction outputs into navigation and decision-making pipelines with product and deployment teams.
- Collaborate across research, engineering, product, and downstream deployment teams on new capabilities and roadmaps.
Requirements
- MSc in computer science, machine learning, robotics, or a closely related field.
- Hands-on experience developing localisation, scene matching, or 3D reconstruction systems beyond benchmark evaluation.
- Deep familiarity with geometric computer vision and deep learning, including learned feature matching, place recognition, visual SLAM, visual-inertial odometry, neural radiance fields, domain adaptation, or model compression.
- Strong software engineering skills in Python and experience deploying AI software to production, including testing, QA, and monitoring.
- Clear communication skills and the ability to present research findings internally and externally.
- Passion for current research and reimplementing or extending state-of-the-art approaches in geometric deep learning, SLAM, and 3D vision.
- Preferred: PhD in computer vision, machine learning, robotics, or a related field with publications in top-tier venues such as CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, or ECCV.
- Preferred: Experience delivering end-to-end AI systems on constrained edge devices.
- Preferred: Experience with simulators, emulators, synthetic data generation pipelines, Rust, or C++.
Benefits
- Relocation support with temporary accommodation.
- Annual learning allowance.
- Gym membership and mental health support through Nilo.health.
- Regular company events and monthly social allowances.
- Enhanced paid parental leave.
- Paid family emergency leave, 100% remote work during pregnancy, and phased return to work.
- VSOP options are offered.
- Additional benefits may vary by location.
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.