Design, develop, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion using camera, LiDAR, and radar data. Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks with strict performance requirements. Contribute to system design, documentation, best practices, and code reviews across ML and autonomy teams.
Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
Design and implement efficient and scalable MLLM models for inference and analysis of visual data.
Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.
Design and implement production-grade auto-labeling pipelines that generate 3D and 4D annotations from multi-modal robot data at scale.
Develop data-centric learning workflows that connect auto-label outputs, Serve’s dataset infrastructure, and continuous E2E model training and evaluation pipelines.
Lead initiatives in self-training, weak supervision, and simulation-to-real adaptation to reduce manual labeling dependency and accelerate model iteration cycles.
Serve Robotics is reimagining how things move in cities with their sidewalk robot designed to take deliveries away from congested streets and benefit local businesses.
Develop and optimize computer vision algorithms for road model detection.
Design and implement deep learning models for road model inference in BEV frameworks.
Collaborate with robotics, software, and hardware engineering teams for seamless integration.
Torc has been a leader in autonomous driving since 2007, commercializing solutions with experienced partners and now focused on developing software for automated trucks.
Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across existing C++ codebases.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Lead development of models for autonomous vehicles to perceive and interpret road geometry.
Define next-generation deep learning architectures for extracting road and lane semantics from sensor data.
Develop evaluation frameworks for lane and road geometry accuracy and cross-domain generalization.
Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family, focusing solely on software development for automated trucks.