Develop and train machine learning models for scene understanding.
Implement production-quality ML code to support model training.
Analyze model performance, identify failure modes, and propose improvements.
Torc Robotics is dedicated to developing autonomous driving technology. They aim to revolutionize the trucking industry with safe and efficient self-driving solutions.
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.
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.
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.
Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference
Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning
Write clean, modular, and maintainable code to support scalable AI applications
Eimagine fosters a remote-enabled environment where their people can thrive. They are a team of professionals who take pride in their craft, continuously learn, and support one another, helping clients navigate technology and business change while delivering meaningful outcomes.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Design, train, and evaluate state-of-the-art VLA models for robotic systems.
Implement scalable architectures for multimodal model fusion, continual learning, and domain adaptation
Collaborate across engineering, robotics, and mission teams to integrate ML pipelines with onboard autonomy
Scout AI develops Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. They are a startup with a mission that demands urgency, precision, and relentless work, offering a rare opportunity to architect the future of defense.
Work with designers and product managers to create high-performing product features.
Apply ML techniques to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Optro is the leading audit, risk, ESG, and InfoSec platform on the market and has surpassed $300M ARR. They inspire each other to innovate and assist each other to create the most loved platform, which has allowed them to become one of the 500 fastest-growing tech companies in North America.
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.