Job Description

The company is seeking a skilled Machine Learning Engineer to develop Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR, for autonomous driving and 3D scene understanding. The role involves designing, implementing, and optimizing perception algorithms and collaborating with cross-functional teams.

Responsibilities

• Design and optimize BEV-based perception models
• Benchmark models using large-scale datasets
• Collaborate with research, data, and deployment engineers
• Focus on performance, robustness, and scalability
• Ensure compliance with Quality Management System (QMS)

Requirements

• Ph.D. or Masters in AI, Computer Science, or related field
• Ph.D. new grad or Masters + 3 years industry experience
• Proficiency in Python and deep learning pipelines
• Expertise in PyTorch, TensorFlow, or JAX
• Experience with LiDAR-based 3D perception
• Understanding of multimodal sensor fusion

Benefits

• No benefits