Senior AI Engineer – Self-Driving
Tasks
- Build multi-sensor fusion pipelines
- Build scalable training pipelines
- Build semantic segmentation pipelines
- Create data curation and annotation strategies
- Design 3D scene understanding models
- Develop algorithms for 3D object detection
- Develop algorithms for occupancy detection
- Develop foundation models for self driving perception
- Evaluate and benchmark perception models
- Implement multi-object tracking
- Integrate perception models into self driving stack
- Optimize deep learning models for real time inference
- Research and implement machine learning methods
- Translate research into production systems
- Validate models using real world datasets
- Write high-quality, tested code
Perks/Benefits
- Annual health checkups
- Collaborative team environment
- Industry mentorship
- Performance bonuses
- Preferential pricing for services
- Premium healthcare
Skills/Tech-stack
3D Object Detection | 3D Scene | 3D Scene Understanding | BEV perception | C++ | Camera Calibration | Cloud processing | Computer Vision | Deep learning | Evaluation & benchmarking | Lidar | Machine Learning | Model Optimization | Multi-object Tracking | Multimodal fusion | Object Detection | Object Tracking | Occupancy networks | Point Cloud | Point Cloud Processing | PyTorch | Python | Radar | Real Time | Real-time Inference | Scene Understanding | Self-Supervised Learning | Self-supervised | Semantic Segmentation | Sensor fusion | Simulation | Supervised Learning | TensorFlow | Transfer Learning
Education
Roles
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