Robotics Automation Engineer
$104,800–$131,000 year
RemoteUnited States or Canada
Job Summary
Design and build an automation and human-in-the-loop pipeline for high-quality egocentric data collection and annotation. Monitor and optimize AI pipelines to address bottlenecks, then rapidly iterate based on customer requirements. Collaborate with data scientists and stakeholders to define use cases and translate them into orchestrated AI solutions connecting multiple GenAI models and APIs. Establish best practices for orchestration, versioning, and lifecycle management while documenting technical architectures for knowledge sharing. Stay updated on advancements in AI orchestration and LLMs to continuously enhance solutions. This role supports the AI Digital Solutions Team at TELUS Digital, leveraging established rubrics for robotics data collection and annotation.
Required Qualifications
- Previous experience in Robotics training pipelines from Automation and HITL perspectives
- 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration
- Bachelor's or Master's Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field (or equivalent experience)
- Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar)
- Strong data insights and programming skills (Python preferred) for building and integrating orchestration pipelines
- Familiarity with Generative AI models (e.g., LLMs, diffusion models) and their deployment
- Strong problem-solving and analytical skills to optimize workflows
- Excellent communication and collaboration skills to work across technical and non-technical teams
- Must be based in California due to proximity to collection sites
- Role is open remotely in the United States with travel required
Desired Qualifications
- Experience in GenAI/LLM orchestration is a strong plus
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