Senior Machine Learning Platform Software Engineer - Perception

• Introducing and customizing automation into data extraction and labeling pipelines
• Design and improve metrics pipelines and create monitoring dashboards to track performance of perception systems in production
• Build and maintain infrastructure and ETL pipelines for training, validating, and deploying ML models
• Build and maintain infrastructure for interfacing with third party labeling companies
• Ensure reproducibility, traceability, and observability of Perception workflows

This role contributes to creating a carbon-neutral, accessible, and affordable public transit system that empowers communities to thrive by connecting people to housing, education, employment, commerce, and care.

• 5+ years experience in Modern C++ software design and development
• Experience with large multimodal datasets and their curation
• Self starter - experience developing a solution end-to-end starting from vague requirements in a cross team collaborative environment
• Good communication skills and a collaborative mindset
• Desirable: Robotics and/or autonomous driving platform experience, implementation of end-to-end test and metrics workflows and dashboards, implementation of analytics and insight tools for AD datasets, ML model deployment in production grade C++ software stacks, Python skills, familiarity with containerization (Docker) and orchestration (Kubernetes), familiarity with cloud platforms like AWS, GCP, or Azure, hands-on experience with ML platforms (e.g., MLflow, SageMaker, Valohai, or equivalent), experience in building 3D Visualization tools for LiDAR point cloud data

No specific benefits, compensation, or perks mentioned in the job description.

Glydways is reimagining public transit with a mission to revolutionize transportation by delivering high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact through a network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles.