Manager, Perception Labeling and Tools

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.

• 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.

• 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.

• 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.