Teams at Latitude AI

Lead and mentor an engineering team developing production-grade deep learning and computer vision models for autonomous driving. Oversee roadmap execution, model deployment, multi-sensor fusion, spatio-temporal modeling, software quality, validation, and collaboration with motion planning, localization, infrastructure, and hardware teams. Guide models from research prototypes through real-time vehicle deployment while ensuring latency, reliability, and safety-critical performance.

Performs exploratory data analysis, extracts and transforms data from BigQuery using complex SQL, builds production data models with dbt, investigates data quality issues, and supports data integrations. Uses Git and GitHub for version control and code review, Linux for scripting and file management, and Jira and Atlassian automation for workflow management.

Performs quality assurance on labeled autonomous vehicle sensor data, identifies error trends and discrepancies, tests tools and workflows, mentors team members, prepares clarification materials, provides feedback to third-party teams, and escalates quality concerns. The role requires sustained attention to detail, clear reporting, strong communication, and the ability to analyze large data samples using workplace productivity and workflow tools.