Lead Perception Engineer

Core Responsibilities

• Re-use, adapt, and extend existing perception algorithms (such as those commonly used in AV applications) to be applied to Teleo's operational domain and develop novel multi-modal perception algorithms
• (Re-)Train models as Teleo's operational domain evolves
• Develop auto-annotation and auto-labeling tools using SoTA methods, such as VLMs
• Define evaluation protocols that correlate with on-ground performance
• Drive active learning: select the right data
• Integrate tightly with MLOps for continuous deployment

Required Qualifications

• M.S. or higher in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field
• 3+ years in applied ML with large-scale datasets
• Strong Python + PyTorch Experience shipping perception or ML systems into production
• Systems thinker: understands data, models, infra as one system
• Strong Experience With Auto-annotation techniques like VLM-based labeling
• Model evaluation beyond single metrics (failure modes, edge cases)
• Perception tasks: detection, segmentation, depth, tracking
• Multi-modal data (camera, LiDAR, radar)

Nice to Have

• Dataset management & slicing
• Experience with synthetic data or simulation
• Large-scale data pipelines (Parquet, Arrow, object storage)