Manager, Perception Labeling and Tools

Number of employees

4100

Foster City, CA, United States

Posted on: 2025-02-12

Category: emobility

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Expired

Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

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


We are seeking an Engineer Manager to lead a team of engineers and work closely with ML teams to build tools and data pipelines to support ML data collection and labeling. Data collection is the core stage of data-driven ML development and is critical to model training and performance evaluation.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000-$264,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

In this role, you will

  • Lead and inspire a team of engineers, and develop their careers by identifying opportunities and delivering impactful results.
  • Architect and develop tooling for data mining, data labeling, and quality control such that other AI teams can leverage high-quality data to train and evaluate their models.
  • Define the product roadmap that meets the needs of 10+ ML teams and collaborate with other infrastructure teams to share milestones and enhance pipeline efficiency.
  • Scale operations across hundreds of human labelers to fulfill data needs across AI, hardware, and data science teams.
  • Stay up-to-date with the latest trends and technologies in ML data products to continuously innovate the data-driven ML development process.
  • Qualifications

  • 5+ years of engineering experience in full-stack application development.
  • 2+ years of engineering management experience that demonstrated the ability to develop people and build a strong team
  • Experience designing and building modern data-intensive web applications such as data warehouses, data processing tools, or data visualization tools.
  • Excellent communication and collaboration skills, ability to work effectively in a cross-functional team environment and support other teams.
  • Bachelor's or Master's degree in Computer Science or a related field.
  • Bonus Qualifications

  • Experience with AWS, especially EC2, S3, RDS
  • Experience with Databricks and Spark
  • Experience with Data Pipelines and orchestrators such as Airflow
  • Experience in ML-related development or the autonomous driving industry.
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