Zoox

Software Development Engineer in Test, Machine Learning

Zoox
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2 months ago
Foster City, CA, USAMid Level
H1B Sponsor

Base Salary

$180k - $225k/yr

Responsibilities

  • Design and improve ML and deep learning algorithms on large-scale data to automate testing and triage workflows.
  • Build and operate agentic LLM systems using tools such as Claude or Gemini, from prototype through production.
  • Design and improve scalable integration, functional, and regression automation tests for mobile applications.
  • Run multiple production pipelines, monitor them, respond to issues, and fix root causes.
  • Build monitoring tools and use production feedback to improve algorithms.
  • Collaborate with data science, machine learning, autonomous drive planning, and quality assurance stakeholders.

Requirements

  • PhD or Master's degree in a STEM field.
  • At least four years of experience in triage, performance analytics, infrastructure as code, machine learning, natural language processing, or deep learning, including work for Fortune 500 organizations.
  • Strong productionization and CI/CD experience on medium- to large-scale projects using Python, dashboards, evaluation, algorithms, and data manipulation.
  • Experience with RAG, PyTorch, TensorFlow, or HuggingFace.
  • Professional experience building or managing agentic LLM systems such as Claude or Gemini using large datasets and serving multiple stakeholders.
  • Experience running production pipelines on platforms such as Databricks and AWS, including resolving production issues.
  • Experience with self-correcting models, installing and maintaining LLMs, and data visualization tools such as Looker, Dash, or Databricks Dashboards is a bonus.
  • Experience with performance monitoring at scale, support environments, autonomous driving, or robotics is a bonus.
  • Strong verbal and written communication skills.

Tech Stack

AWSDatabricksPythonPyTorchTensorFlow
Zoox

About Zoox

1,001-5,000 employees

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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