Hiring: Research Engineer / Scientist (SLAM) Company: World Labs Location: San Francisco, CA Job Posted Time: 2026-09-10 18:01:31 Employment Type: Hybrid Target Skills & Keywords : Computer Vision, HBase, LLM, Machine Learning, Transformers About the job Experience: •6+ years of experience working on SLAM, state estimation, robotics perception, or related areas. Required Skills: •Design and implement modern SLAM systems for real-world environments, including visual, visual-inertial, lidar, or multi-sensor configurations. •Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure, and global optimization. •Research and prototype learning-based or hybrid SLAM approaches that combine classical geometry with modern machine learning methods. •Build and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing techniques. •Develop sensor fusion strategies that integrate cameras, IMUs, depth sensors, lidar, or other modalities to improve robustness and accuracy. •Analyze failure modes in real-world SLAM deployments (e.g., perceptual aliasing, dynamic scenes, drift) and design principled solutions. •Create evaluation frameworks, benchmarks, and metrics to measure SLAM accuracy, robustness, and performance across large datasets. •Optimize performance across the stack, including real-time constraints, memory usage, and compute efficiency, for large-scale and production systems. •Collaborate with reconstruction, simulation, and infrastructure teams to ensure SLAM outputs integrate cleanly with downstream world modeling and rendering pipelines. •Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping define best practices for localization and mapping across the organization. •Key Qualifications •6+ years of experience working on SLAM, state estimation, robotics perception, or related areas. •Strong foundation in probabilistic estimation, optimization, and geometric vision (e.g., bundle adjustment, factor graphs, Kalman filtering). •Deep experience with one or more SLAM paradigms (visual, visual-inerti Compensation: •$250,000 •$350,000 •$1 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!