Job Description
- Model Development: Design, develop, and optimize ML models for localization. Build high-performance training, evaluation, and optimization workflows using PyTorch. Analyze failure cases and improve model robustness to achieve production-grade reliability.
- Collaboration: Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks. Contribute to system design and code reviews across ML and autonomy teams. Work cross-functionally in fast-paced environments.
- Technical Expertise: Hands-on expertise with localization systems such as LiDAR-based localization. Solid grounding in 3D geometry, spatial transforms, probabilistic estimation, and robotics fundamentals. Strong Python or C++ engineering skills.
About Jobgether
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