Senior ML Engineer - Mapping
Core
Building production-grade semantic and topological mapping and localization stacks for autonomous vehicles to navigate complex urban, suburban, and rural environments.
Role type
Senior IC machine-learning engineer (autonomous mapping)
Builds
Production-grade lane and route network mapping ML, semantic features, and localization stacks for autonomous vehicle fleets.
Domain
Autonomous driving / Computer Vision / Robotics
Deliverable
production ML models
Required skills
Object detection, classification, segmentation, tracking, depth estimation, 3D reconstruction, lane-level topology modeling, vectorized mapping networks, BEV-based scene representation, self-supervised/semi-supervised learning, PyTorch, TensorFlow, Python, C++, Linux-based development, synthetic data generation, data curation, active learning pipelines, model evaluation, modular software design
Preferred skills
HD map geometry modeling, feature extraction from street-level and overhead imagery, ML optimization for real-time products (quantization, pruning), publication record at top-tier conferences (CVPR, NeurIPS, etc.)
Technologies
PyTorch, TensorFlow, MapTR, Linux
Responsibilities
Implement and optimize production-grade lane and route network mapping ML; Research, train, and evaluate advanced neural architectures for object detection, segmentation, and 3D reconstruction; Develop data curation, auto-labeling, and active learning pipelines; Develop evaluation scripts for lane and route network accuracy; Collaborate with ML and Autonomy engineers to ensure seamless deployment and validation of mapping features.
Seniority
Senior, hands-on IC
