Machine Learning Engineer 3D Vision&Localization
Role Overview
This senior-level role involves designing and developing advanced SLAM systems and deep-learning-based observation models for autonomous trucking, focusing on real-time state estimation and 3D map-building pipelines. The engineer will work in a multidisciplinary team with research scientists and engineers, collaborating cross-functionally to integrate localization and mapping solutions that ensure scalability and operational stability for self-driving vehicles.
Perks & Benefits
The job offers a remote work setup, likely with flexible hours, and involves collaboration with experts in AI, mapping, and robotics on cutting-edge autonomous technologies. Career growth opportunities include shaping next-generation intelligent mapping systems and working in a dynamic, innovation-driven culture focused on safe self-driving at scale.
Full Job Description
Why Join Us At Bot Auto, you'll work on cutting-edge autonomous technologies that redefine how self-driving vehicles perceive and navigate the world. You'll collaborate with experts in AI, mapping, and robotics to shape the next generation of intelligent mapping systems. You Will
Be part of a multidisciplinary team of research scientists and engineers using an AI-first approach to enable safe self-driving at scale. Design and develop advanced SLAM systems to create, automate, and optimize large-scale 3D map-building pipelines for autonomous trucking environments. Implement robust, precise, and real-time onboard state estimation algorithms capable of maintaining accuracy and robustness under challenging conditions. Build and refine deep-learning-based observation models that enable resilient perception and localization performance across diverse and complex real-world scenarios. Integrate and validate localization and mapping solutions across onboard and offline systems, ensuring scalability, efficiency, and long-term operational stability. Collaborate cross-functionally with perception, planning, control, and systems teams to align mapping and localization outputs with broader autonomy goals.
Required Qualifications
Master's or PhD in Robotics, Computer Science, Electrical Engineering, or a related field. Strong background in robotics, simultaneous localization and mapping (SLAM), or 3D vision theory and practice. In-depth knowledge and extensive experience in deep learning, computer vision,Please mention the word **GREAT** and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.