Senior Software Engineer, Machine Learning, Sensor Simulation
- Research, develop, and implement state-of-the-art synthetic sensor simulation methods.
- Analyze and characterize the realism and utility of synthetic sensor data.
- Answer critical questions about sensor data and autonomy performance.
- Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements.
- 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.
- Deep understanding of 3D geometry and state estimation fundamentals.
- Proficiency in systems coding.
- Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc...), including noise modeling.
- Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models.
- Experience in building ML pipelines and optimizing/productizing ML models.
- Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).
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