Machine Learning Software Engineer, Nuro

• The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods with sensor data (IMU, camera, lidar, radar, etc.).
• Experience with classical state estimation techniques (non-linear least-squares optimization, lie algebra) is a bonus
• One of:
• PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience
• Masters and 4+ years of industry experience
• 5+ years of industry experience
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models
• Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax

Desirable

• Our team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team.
• We are searching for an engineer with robotics and machine learning expertise to develop online and offline unstructured (targetless) sensor calibration algorithms.
• Research and develop state-of-the-art state estimation and calibration algorithms combining classic robotics and modern ML techniques
• Analyze and characterize the accuracy and performance of state estimation and calibration algorithms
• Integrate state estimation and calibration pipelines into the autonomy system and analyze onboard performance and resource utilization
• Work cross-functionally with other autonomy teams to accelerate the training of ML models and end-to-end performance evaluation
• Answer critical questions about sensor data and autonomy performance