POSTING ACTIVE · REQ-85CE4 · FY26.Q3
Machine Learning Automation Engineer
[ COMPENSATION RANGE · ANNUAL · BASE ]
$180,000 – $225,000USD
MIDPOINT
$202,500
SPREAD
$45,000
LEVEL
MID
TECHNICAL STACK · 4 TAGS
§ 01OVERVIEW
Within the System Behavior Analysis (SBA) organization, the Behavioral Automated Triage (BAT) team builds the ML, deep learning, and data pipelines that help Zoox understand and triage failures our robots encounter on the road. You will build agentic, LLM-powered triage systems and run them in production, keeping pipelines healthy that teams across Zoox use daily, while working closely with stakeholders across safety, planning, and quality assurance.
§ 02IN THIS ROLE, YOU WILL
- Design and improve ML/DL algorithms on large-scale data to automate test and triage workflows.
- Build and run agentic LLM systems (e.g., Claude or Gemini) that automate triage, from prototype to production.
- Run multiple production pipelines: monitor them, respond to issues, and fix the root causes.
- Work with stakeholders across data science, ML, autonomous drive planning, and quality assurance.
- Build monitoring tools and use them to keep improving your algorithms in production.
§ 03QUALIFICATIONS
- 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 RAG, PyTorch, TensorFlow, or HuggingFace
- 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.
§ 04BONUS QUALIFICATIONS
- 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
§ 05REQUIREMENTS
Description
- 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 RAG, PyTorch, TensorFlow, or HuggingFace
- 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. Bonus Qualifications
- 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
QUESTIONS AND ANSWERS
- How much does the Machine Learning Automation Engineer at Zoox pay?
- The posting lists a range of $180K–$225K per year. Ranges reflect what Zoox publicly declared on the source posting.
- Where is this Machine Learning Automation Engineer role based?
- The role is based in Foster City, CA.
- What experience does Zoox expect for this role?
- The posting is tagged as a mid-level role, typically 3+ years of experience. Check the requirements section for specifics.
- Where is Zoox headquartered?
- Zoox is headquartered in Foster City, USA.
- How was this posting sourced?
- This role was pulled directly from Zoox's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
[ APPLICATION ROUTE ]LEVER · External ATS
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.
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