Senior Staff Research Scientist

Job description

Minimum Qualifications: Ph.D. in Computer Science, Robotics, Electrical Engineering, Statistics, or a related field (or equivalent practical experience). 6 years of experience leading research agendas, developing scalable algorithms, or deploying ML models in production or applied research environments. Experience with deep learning frameworks (e.g., JAX, TensorFlow) and with distributed training/evaluation pipelines. One or more scientific publication submission(s) for conferences, journals, or public repositories.(e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICRA, CoRL). Preferred Qualifications: 6 years of experience leading complex research projects and setting technical direction in autonomous systems or mobile robotics. Experience designing, distilling, and optimizing neural architectures for low-latency, real-time edge hardware and onboard compute constraints. Proficiency in modern programming languages and working with large-scale distributed training infrastructure. Demonstrated track record in deep learning, epistemic/aleatoric uncertainty quantification, model calibration for decision-making, and out of distribution diagnosis and generalization. . Strong background in self-supervised learning, multimodal foundation models, latent and embedded spaces, or foundational representations.