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Staff AI Engineer (Perception)

Agility Robotics

Join Agility Robotics, a company at the forefront of humanoid robot technology. As a Staff AI Engineer, you will lead the design and development of object detection and tracking algorithms, ensuring the success of our robots in real-world applications. You will collaborate with various teams, promote best practices in software development, and optimize deep neural networks for embedded systems. Enjoy a range of benefits, including stock options, paid parental leave, and a culture that embraces individuality and flexible work schedules.

Responsibilities

  • Conception, développement et déploiement d'algorithmes d'apprentissage automatique pour la détection multi-objets, la compréhension de la scène et l'estimation de pose.
  • Évaluation et promotion des modèles de perception à la pointe de la technologie, et mise en œuvre des meilleures pratiques en matière d'architecture, de conception et de test.
  • Collaboration avec les équipes de navigation, de manipulation et de matériel pour aligner les capacités de perception sur les exigences du produit.
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
  • Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc
  • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision
  • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots

Requirements

  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
  • Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation
  • Experience developing ML models for 3 or 6 dof pose estimation
  • Experience using YOLO, Faster/Mask R-CNN

Preferred

  • Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
  • Experience in a technical leadership role

Pay

USD 207,000 - 323,000

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