Manager, Perception Labeling and Tools

Reposted 13 Hours Ago
Be an Early Applicant
Foster City, CA
Hybrid
210K-264K Annually
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Lead a team of engineers to build tools and data pipelines for ML data collection and labeling, supporting model training and evaluation.
Summary Generated by Built In

The Perception team at Zoox is responsible for developing the eyes and ears of our self driving car. Navigating safely and competently in the world requires us to detect, classify, track and understand several different attributes of all the objects around us that we might interact with, all in real time and with very high precision. 


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.

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.
  • Fluency in Python.
  • 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.

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.

Top Skills

Data Pipelines
Ml
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The Company
HQ: Foster City, CA
2,500 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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