Senior AI/ML Engineer - Robotics & Drones
HybridKrakow, Łódź Voivodeship, Republic of Poland
Job Summary
Define and develop AI/ML perception algorithms for multiple sensors (Camera, Radar) and tasks including object detection, segmentation, and environment modelling. Develop multi-sensor fusion algorithms to ensure accurate, robust perception in challenging environments and establish best practices supporting safety requirements and predictable failure behavior. Shape validation strategies, regression testing, and performance benchmarking using simulation and real-world data while translating operational requirements into algorithm decisions. Evaluate open-source frameworks and third-party SDKs for scalability and compliance, then support PoCs and early deployments by guiding perception setup, tuning, and debugging in real environments.
Required Qualifications
- PhD or Master's degree in Robotics, Computer Science, Electrical/Computer Engineering, any other related technical field, or equivalent practical experience
- Proven experience in building scalable AI/ML development pipelines
- Strong proficiency in Python
- hands-on experience with ML/DL and perception libraries such as PyTorch, PyTorch Lightning, scikit-learn, OpenCV, NumPy, Pandas, or similar
- Strong theoretical and practical understanding of sensors and their modalities (camera, radar, LiDAR), sensor fusion, and environment models
- Excellent communication skills and ability to explain complex localization perception to cross-functional audiences
- Experience with perception systems in industrial environments (warehousing, logistics, manufacturing)
- Knowledge of functional safety standards for mobile robotics
- Experience with continuous improvement and optimization of AI/ML perception models
- Proficiency with ML platforms and experiment management tools (e.g., MLflow, SageMaker, Databricks, DVC)
- Experience with embedded and heterogeneous computing platforms (NVIDIA, Qualcomm, TI, Renesas)
- Hands-on experience with ROS / ROS 2
- Experience in fast-paced, high-ambiguity environments
- Strong background in AI/ML debugging, dataset management, and model training
Desired Qualifications
- Nice to have Experience with perception systems in industrial environments (warehousing, logistics, manufacturing)
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