Job Summary:
Teleo, a robotics company, is transforming construction heavy equipment into autonomous robots for commercial and defense applications. They are seeking a Lead Perception Engineer to build perception algorithms and architecture, ensuring safe operations for heavy machinery on construction and mining sites.
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
Qualifications:
Required:
• 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
Preferred:
• Dataset management & slicing
• Experience with synthetic data or simulation
• Large-scale data pipelines (Parquet, Arrow, object storage)
Company:
Teleo provides construction equipment by converting existing fleet into remote-controlled robots. Founded in 2019, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.