Machine Learning Automation Engineer

Zoox

Foster City, CA hybrid Until 9/19/2026 4+ years exp H-1B sponsor history First posted July 21, 2026 Last posted July 21, 2026

Job description

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.

In 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.

Qualifications:

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

Compensation (from employer):
180000–225000 USD per year

About this role

Summary

Develop and maintain ML/DL algorithms and LLM systems for autonomous vehicle triage pipelines.

Job title

Machine Learning Automation Engineer

Experience level

4+ years

Minimum experience

4+ years exp

Industry

automotive

Location requirements

Foster City, CA, on-site, no remote work allowed.

Salary

$180k–$225k

Visa sponsorship

H-1B sponsor history

Management role

Skills & keywords

Required skills

pythonci/cddashboardsevalalgorithmsdata manipulationpytorchtensorflowhuggingfacedatabricksaws

Preferred skills

self correcting modelsllm maintenancelookerdashdata visualizationperformance monitoringrobotics

Specializations

machine learningdeep learningnlpdata pipelinesagentic llm

Locations

Structured locations inferred from the posting.

Foster City, CA, USA

On-site City