Overview: At Zebra, we are a community of innovators who come together to create new ways of working. We are looking for an AI Research Scientist specialising in SLAM, Visual-Inertial Odometry (VIO), and 3D Spatial Perception to join our central CTO Group. In this horizontal, high-impact organisation, you will collaborate with cross-functional business units across the globe and work closely with our London-based research hub of ~15 AI specialists. In this role, you will be bridging the gap between innovation and on-device execution -prototyping new algorithms, training spatial models, and optimising them to run directly on resource-constrained mobile edge devices to power next-generation Augmented Reality (AR), enterprise vision, and edge intelligence. You will be based at our central London office (Endeavour House, Shaftesbury Avenue, WC2H 8JR) on a flexible hybrid model - collaborating in person 3 days a week, with 2 days working from home. Research, design, and implement robust Visual-Inertial Odometry (VIO), 6-DoF camera pose estimation, and monocular SLAM pipelines tailored for resource-constrained edge hardware. Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs. Build spatial foundations that deliver seamless on-device AR experiences, barcode/shelf product recognition, OCR, and multi-modal edge AI capabilities without relying on cloud connectivity. Partner with global hardware, software, and product engineering teams to integrate your models into commercial product roadmaps. D. in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a specialised focus on Computer Vision, Spatial AI, or Robotics. At least 2 years of hands-on experience in research and development of SLAM / Spatial tracking systems. Deep theoretical understanding and hands-on implementation of SLAM (Simultaneous Localisation and Mapping) and VIO (Visual-Inertial Odometry).Strong foundation in 6-DoF pose tracking, sensor fusion (IMU + Vision), and camera calibration (intrinsic/extrinsic parameters).3D geometric computer vision: ray-plane intersections, epipolar geometry, bundle adjustment, and monocular depth estimation. High proficiency in C++ and/or Python, along with standard ML and Computer Vision frameworks (e.g., 25 days of vacation Up to 32 hours paid time off per year to volunteer with a charity of your choice Reward & Recognition scheme - earn points to spend online Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments Annual bonuses based on financial results Yearly salary increases according to individual performance Employee referral bonus for bringing New Talent to Zebra Pension Scheme with a matched contribution up to 7% Private medical and dental cover Access to an innovative online learning platform Cycle to work scheme Employee Assistance Program Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy. SummaryLocation: London, United KingdomType: Full time
AI Research Scientist - (Leadership) in London employer: Zebra Technologies Corporation
At Zebra, we pride ourselves on fostering a culture of innovation and collaboration, where every employee is valued and empowered to make a meaningful impact. Located in the vibrant city of London, our forward-thinking environment offers ample opportunities for professional growth and development, alongside competitive benefits including performance-based incentives. Join us to be part of a diverse team that is dedicated to redefining the future of work through cutting-edge technology and a commitment to social responsibility.
Contact Details:
Zebra Technologies Corporation Recruitment Team
