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Design and build an automation and HITL pipeline for high quality egocentric data collection and
Monitor and optimize AI pipelines, addressing bottlenecks, errors, and inefficiencies
Rapidly iterate AI pipelines based on customer requirements
Collaborate with data scientists, engineers, and business stakeholders to define use cases and
Establish best practices for AI orchestration, versioning, monitoring, and lifecycle management
Document processes, technical architectures, and orchestration standards for knowledge sharing

Previous experience in Robotics training pipelines from Automation and HITL perspectives
3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration; GenAI/LLM
Bachelor’s or Master’s Degree in Computer Science, Data Engineering, AI, or related field (or
Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster
Strong data insights and programming skills (Python preferred) for building and integrating
Familiarity with Generative AI models (LLMs, diffusion models) and their deployment

Automation Engineer (Robotics)

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