Focus Area Label Automation & Research Intern

Join our team to revolutionize the Focus Area labeling process that drives AI development efforts. As a Focus Area Label Automation & Research Intern, you will contribute to automating Focus Area labeling, designing new labels, and enhancing label coverage using generative modeling. By leveraging dynamic mapping from (UDB, subcluster) pairs to Focus Area labels, you will enable faster adaptation to new initiatives and guide the creation of new Focus Areas, ensuring AI teams stay ahead in autonomous driving advancements.

• Currently pursuing a degree in Computer Science, Data Analytics, AI, or a related field.
• Proficient in Python (Pandas, NumPy) and SQL.
• Familiar with machine learning concepts (e.g., embeddings, similarity).
• Strong problem-solving, communication, and collaboration skills.
• Exposure to big data platforms (e.g., Spark, Databricks) is a bonus.

Compensation

The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.

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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.