Develop and train deep learning models for camera-based perception.
Implement production-quality machine learning code to support model training, evaluation, and inference.
Analyze model performance across diverse driving scenarios to improve robustness and generalization.
Torc Robotics focuses on developing self-driving vehicle technology. They aim to make roads safer and improve lives by commercializing autonomous trucks, offering advanced driver assistance systems and self-driving solutions, with a focus on safety and reliability.
Develop and train machine learning models for learned behavior systems.
Implement production-quality ML code to support model training, evaluation, and inference.
Analyze model performance, identify failure modes, and propose improvements to increase robustness.
Torc Robotics develops behavior models that power decision-making for autonomous trucks. While the job posting does not provide specific information regarding company size, it can be inferred that they foster a highly collaborative environment.
Develop and train computer vision and deep learning models for road‑lane detection using monocular and multimodal sensor data.
Build 3D road surface and lane geometry models in BEV space and integrate them into Torc’s autonomy pipeline.
Analyze model performance, identify corner cases, and improve robustness under diverse environmental and long‑tail conditions.
Torc Robotics focuses on developing autonomous driving technology, particularly for trucking applications. They aim to create safe and reliable autonomous systems. The company fosters collaboration between expert teams to push the boundaries of autonomous vehicle capabilities.
Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets.
Identify and resolve bottlenecks in the training pipeline to maximize GPU utilization and reduce training time.
Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks.
Serve Robotics is reimagining how things move in cities. Their personable sidewalk robot is their vision for the future; it's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. Their team is agile, diverse, and driven aiming to grow robotic deliveries from surprising novelty to efficient ubiquity.
Design, train, and deploy machine learning models that enhance ButterflyMX products and user experiences.
Build and maintain full stack applications and services that integrate ML capabilities into production systems.
Develop and optimize data pipelines for model training, evaluation, and inference.
ButterflyMX empowers people to open and manage doors & gates from a smartphone. They are installed in multifamily, commercial, gated communities, and student-housing properties worldwide. Fantastic people are the key to our success.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.