Senior Machine Learning Engineer

What you'll do

• Design, train, and optimize machine learning models for LiDAR/camera perception and multi-sensor fusion.
• Develop and coordinate end-to-end ML workflows including data pipelines, model training, and performance reporting.
• Transition ML models from initial experimentation to production-level code using C++.
• Implement object detection, image classification, semantic segmentation, and tracking algorithms.
• Build and sustain training and metric workflows for large-scale datasets.
• Optimize models for real-time inference on embedded or automotive platforms.
• Incorporate the latest machine learning techniques to improve platform performance.

What we're looking for

• MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of relevant proven industry experience applying machine learning to address real-world problems.
• Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
• Deep practical experience applying machine learning to lidar/camera perception and multi-sensor fusion in automotive or related fields.
• Experience with deep learning frameworks and a strong understanding of the mathematical foundations of ML.
• Experience building and sustaining training and essential metric workflows for large-scale datasets.
• Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment (preferred).
• Experience with model optimization for real-time inference on embedded or automotive platforms (preferred).