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Bot Auto · 21 hours ago

Machine Learning Engineer, 3D Vision&Localization

United States

Full-time

Remote

Mid, Senior Level

Bot Auto is a company focused on cutting-edge autonomous technologies for self-driving vehicles. They are seeking a Machine Learning Engineer specializing in 3D Vision and Localization to join their multidisciplinary team and contribute to the development of advanced mapping and localization systems.

AutomotiveAutonomous VehiclesTransportation

Responsibilities

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

Qualification

SLAM systemsDeep learningComputer visionC++Python3D visionSensor fusionLinear algebraProbabilityStatisticsCommunication skillsProblem-solving mindset

Required

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, and modern transformer architectures

Demonstrated experience implementing SLAM/localization/3D vision systems in camera-based or LiDAR-based domains (or both) in real-world environments

Solid software engineering skills in C++ and Python

Experience with sensor fusion involving LiDAR, cameras, IMU, and GNSS/RTK

Strong quantitative foundation in linear algebra, probability, statistics, estimation theory, and optimization

Comfortable working in a fast-paced, multi-disciplinary autonomy environment with a hands-on, problem-solving mindset

Excellent communication skills and the ability to collaborate effectively across teams

Preferred

Publications in SLAM, computer vision, or robotics

Experience in the autonomous vehicle industry, particularly with on-road or fleet-scale systems

Experience building and operating mapping infrastructure: large-scale map creation and updates, change detection, versioning, and map-vehicle alignment

Experience developing localization systems for GNSS-challenged or dynamically changing environments

Familiarity with cloud platforms and distributed data pipelines for large-scale autonomy data processing