Research Engineer — Vision & Perception

About the role

We are hiring Research Scientists in Vision & Perception to design the perception stack that makes our robots understand their environment well enough to act in it reliably. Your work will define how our robots see the world, what they recognize, how robustly, and from how little data. Industrial environments are visually complex, varied, and unforgiving: changing lighting, cluttered scenes, novel objects, and a hard requirement to work in production without supervision. The perception layer has to deliver the spatial and semantic understanding required for learned manipulation policies to succeed, across the many tasks, objects, and sites we will deploy on. Hitting our one-hour demonstration-to-deployment target depends directly on perception methods that work robustly out of the box, with minimal site-specific tuning. This is a research role focused on shipping algorithms into a real product. We are an early-stage company and do not publish at this stage. You will work in close collaboration with the Robot Learning and Integration teams to ensure the methods you develop run on real robots, in real factories. Responsibilities • Design, prototype, and evaluate perception algorithms for robotic manipulation — object recognition, segmentation, pose estimation, scene understanding, and related areas • Advance our internal state of the art in perception for embodied agents, with a focus on robustness and data efficiency • Run rigorous experiments on real robots, and contribute to the data, evaluation, and infrastructure needed to do so (we will support you in ramping up on robotics if your background is primarily in vision) • Translate research prototypes into perception components robust enough to ship as part of our product • Collaborate with the Robot Learning and Integration teams to move research from prototype to production • Help shape the long-term research agenda of the company Required qualifications • PhD or MSc in computer vision, robotics, machine learning, or a closely related field, from a leading research lab or strong experience in research environments • Track record of published research at top venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICRA, IROS, CoRL, RSS, or equivalent • Demonstrated research expertise in computer vision or machine perception — object recognition, segmentation, pose estimation, scene understanding, 3D perception, or representation learning for vision • Strong Python skills and fluency with PyTorch • Hands-on experience training, evaluating, and debugging modern vision systems • Professional proficiency in English (internal working language)