Engineering Manager, Autonomy Data & AI Labeling

Polluxa, Inc.; Sunnyvale (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Applied Intuition, Inc. in Silicon Valley seeks an Engineering Manager for the Autonomy Data team to lead a world-class group focused on data quality, labeling workflows, and data mining. You will drive the adoption of foundation models to scale labeling, quality assurance, and data discovery.

This role partners with ML teams to accelerate autonomy development, design scalable data engines, and reduce annotation costs while advancing model iteration cycles.

Qualifications

• Lead a world-class engineering team focused on data-driven autonomy development.
• Design and optimize data quality systems, labeling workflows, and data mining infrastructure.
• Integrate foundation models (LLMs, VLMs, multimodal models) to automate labeling and QA.

Responsibilities

• Grow and manage a team of world-class engineers with the goal of delivering high-quality, well-labeled data and identifying critical edge cases for autonomy
• Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
• Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
• Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles

Job description

Applied Intuition, Inc. in Silicon Valley seeks an Engineering Manager for the Autonomy Data team to lead a world-class group focused on data quality, labeling workflows, and data mining. You will drive the adoption of foundation models to scale labeling, quality assurance, and data discovery.

This role partners with ML teams to accelerate autonomy development, design scalable data engines, and reduce annotation costs while advancing model iteration cycles.