Machine Learning Engineer: Perception
Core
Designing and deploying 3D perception systems for autonomous heavy construction machinery using fused Lidar and camera data.
Role type
Senior IC machine learning engineer (perception/autonomy)
Builds
Production 3D perception systems for construction robots
Domain
Construction industry + autonomous robotics
Deliverable
production ML models
Required skills
3D perception, early fusion architectures (BEV, transformers), object detection (DETR, PETR), sensor calibration (SE(3)), embedded deployment, C++/Rust systems programming, data pipeline management
Preferred skills
Voxel/occupancy grids, NeRFs, top-tier research publications (ICRA, IROS, CVPR)
Technologies
PyTorch, Tensorflow, JAX, BEVFusion, TransFuser, PointPainting, DETR, PETR, C++, Rust
Responsibilities
Develop and train state-of-the-art models fusing raw Lidar and Camera data; Build perception systems robust to dynamic occlusion, particulates, and high-vibration; Optimize models for inference on embedded hardware; Debug system-level issues like sensor calibration drift and latency bottlenecks
Seniority
Senior, hands-on IC