Senior AI/ML Engineer, Future Sensing, Embodied AI

What you'll do

• Develop and improve AI/ML solutions for autonomous driving and future sensing objectives.
• Apply techniques like reinforcement learning and foundation modeling to solve object detection and tracking problems.
• Evaluate perception models for sensing studies involving cameras, lidar, radar, and multi-modal sensor fusion.
• Perform model training, fine-tuning, validation, debugging, and performance optimization for perception tasks.
• Define and implement robust metrics for detection, reconstruction, localization, and model robustness.
• Analyze sensing tradeoffs using real and synthetic data across various weather, lighting, and noise conditions.
• Contribute to production pipelines for data loading, model evaluation, error analysis, and deployment support.
• Integrate models and algorithms into onboard driving systems and future sensing evaluation workflows.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
• Experience applying machine learning techniques to real-world systems or large-scale datasets.
• Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains.
• Proficiency in PyTorch and Python.
• Experience working with model training pipelines or large-scale data processing workflows.
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
• Experience with model validation, debugging, and failure analysis in ML or perception settings.
• Experience with one or more perception domains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion.