About The Role

Join Zoox, a cutting-edge robotics company, as a Machine Learning Automation Engineer. In this role, you will build and run agentic LLM-powered triage systems, monitor production pipelines, and work closely with stakeholders across various departments. You will have the opportunity to make a significant impact on the company's success while enjoying a range of benefits, including paid parental leave, health insurance, and a comprehensive wellbeing program.

Concevoir et améliorer des algorithmes d'apprentissage automatique et d'apprentissage profond sur de grandes données pour automatiser les tests et les flux de travail de triage.
Construire et exécuter des systèmes LLM agentiques (par exemple, Claude ou Gemini) qui automatisent le triage, du prototype à la production.
Surveiller plusieurs pipelines de production, répondre aux problèmes et corriger les causes profondes.
Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders
Has run multiple production pipelines on platforms like Databricks and AWS, including fixing production issues
Experience with RAG, PyTorch, TensorFlow, or HuggingFace
PhD or Master's in a STEM field and 4+ years in Triage, Performance Analytics, for fortune 500 including infrastructure as code, ML, NLP, or deep learning
Strong productionization, CI/CD experience for medium to large projects Python,, with a solid grasp of dashboards, eval, algorithms and data manipulation
Experience with self correcting models, installation and maintenance of LLMs, data visualization tools like Looker/Dash/Databricks Dashboards
Experience in Performance Monitoring at Scale, Support environments, autonomous driving, robotics
Strong verbal and written communication skills

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