Perception Software Engineering Intern at Glydways in Remote

Summary: Glydways is reimagining public transit to enhance mobility and accessibility. They are seeking a highly motivated research intern to join their ML Perception team, focusing on developing innovative models and algorithms for multimodal deep learning in safety-critical systems. Responsibilities: - Implement state-of-the-art onboard multimodal multitask ML perception models, and finetune them to improve performance - Develop custom adaptations (such as layers, loss functions, etc.) to improve performance on our dataset - Research and development in various areas, including multiview sensor fusion for redundancy, robustness, and safety critical operation; and scene understanding with a focus on anomaly detection - Design and perform experiments, and share and present findings, potentially as a peer-reviewed publication - Work with multimodal (camera, lidar, radar) datasets from a multiagent autonomous system Required Qualifications: - Masters / PhD graduating within 12 months of internship completion - Strong programming skills (Modern C++ and/or Python) - Familiarity with deep learning frameworks such as Pytorch - Excellent communication and interpersonal skills - Strong problem-solving and research skills Preferred Qualifications: - Candidates with experience in early fusion models and/or semantic segmentation models are preferred Required Skills: Machine Learning, Deep Learning, Multimodal Sensor Fusion Important Skills: Modern C++, Python Nice-to-Have Skills: Research Skills, Experience in Semantic Segmentation