15 days ago
Berlin, Germany +2 moreSenior
Responsibilities
- Build models for object detection, recognition, classification, and tracking.
- Optimize computer vision models for real-time throughput and latency constraints on target hardware.
- Research, replicate, and adapt state-of-the-art detection, tracking, and classification architectures.
- Run multi-GPU and multi-node training jobs on large-scale sensor datasets.
- Design rigorous experiments and benchmarks to evaluate and improve real-world model performance.
- Collaborate with research, engineering, product, and downstream deployment teams to identify perception bottlenecks and shape capability roadmaps.
- Deploy AI software to production, including testing, quality assurance, and monitoring.
Requirements
- MSc in computer science, machine learning, robotics, or a closely related field.
- Experience designing, implementing, and thoroughly evaluating advanced AI-based systems.
- Hands-on experience developing and deploying computer vision models beyond benchmark settings and under real-world deployment constraints.
- Deep familiarity with convolutional and transformer-based visual perception architectures.
- Practical experience with techniques such as multi-task learning, domain adaptation, or model compression.
- Solid software engineering skills and ability to write clean, well-structured Python code.
- Excellent communication skills for clearly reporting and presenting research findings.
- Preferred qualifications include a PhD and top-tier publications, experience with object detection, classification, tracking, scene understanding, edge AI systems, simulators, emulators, synthetic data pipelines, Rust, or C++.
Benefits
- Competitive salary and VSOP options.
- Relocation support of up to €2,500 and four weeks of temporary accommodation.
- Annual learning allowance of €500/£450.
- Gym membership and mental health support through Nilo.health.
- Regular company events and monthly social allowances.
- Enhanced parental leave of 22 weeks for primary caregivers and six weeks for secondary caregivers.
- Five days of paid family emergency leave, a 100% remote work option during pregnancy, and phased return to work.
- Benefits may vary by location, and the company supports remote work options.
Categories
AI ResearchML Engineering
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.