Multi-Modality Model Engineer

Job Overview

Join our team to build, pre-train, and evaluate large-scale multi-modality foundation models. This role involves aligning diverse data streams such as Vision, LiDAR, Radar, Language, and Audio to define an ML roadmap for deploying multi-modality representations in vehicles.

Responsibilities

• Build, pre-train, and evaluate multi-modality foundation models
• Architect Knowledge Distillation pipelines for model compression
• Create training/evaluation datasets for cross-modal learning
• Collaborate with perception teams to validate on-board performance

Requirements & Qualifications

• MS/PhD in CS/ML or related field
• Experience with building/training large VLMs
• Strong cross-modal alignment and pre-training skills
• Proficiency in PyTorch and large-scale ML pipelines
• Experience in autonomous driving or robotics