Staff Full Stack Software Engineer - ML Ops Tooling Platform

AI overview

Contribute to the data platform critical for Perception model training and validation, leveraging Python/C++ tooling to enhance model performance and process automation.
This team owns the data and data platform to support all Perception model training and validation, as well as system validation beyond Perception. The platform supports sample curation, data mining, data labeling, and ML dataset management. High-quality data and efficient data flywheel are central to ML model development, enabling teams to efficiently iterate and improve model performance at scale while Zoox expands its business domain. In this role, you will improve and scale the platform, while also building new features and expanding cross-pillar adoption through Python/C++ tooling, APIs, and data engineering. Your work spans backend API development, data pipelines, and integration with model training and testing workflows, ultimately providing the infrastructure that powers data flywheel at scale. In this role, you will:
  • Work on the Data Flywheel that supports multiple Perception ML teams with data mining, labeling, and curation, to help ML teams improve model performance via better data.
  • Quickly ramp up on our team’s current stack and systems, deliver solutions, and improve solutions based on other teams’ feedback
  • Innovate solutions that leverage AI to drive process automation and efficiency
  • Help coach more junior engineers by reviewing their design and implementation
  • Qualifications
  • 10 YOE+
  • Expert-level proficiency in Python; experienced with or feeling comfortable ramping up C++
  • Strong background in high-performance computing, data processing, and software architecture design and implementation
  • Experience with data query and analysis on a large data warehouse, such as Databricks
  • Experience in working with AND supporting multiple teams (supporting ML teams is  preferred), leading other team members
  • Bonus Qualifications
  • Experience in ML and data-driven mode development
  • Knowledge of frontend stack (JavaScript, Vue, or React.js)
  • Experience in tooling/infra that supports multiple teams
  • About Zoox
    Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


    Accommodations
    If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

    A Final Note:
    You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

    Perks & Benefits Extracted with AI

    • Health Insurance: Zoox offers health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
    • Paid Time Off: Zoox offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement)

    Zoox an American autonomous vehicle company currently headquartered in Foster City, California with multiple offices of operations throughout the San Francisco Bay Area.

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    Salary
    $250,000 – $300,000 per year
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