AI Research Engineer - Data Infrastructure

AI Research Engineer, Data Infrastructure
Location: Palo Alto, CA (on-site)

About 1X

We build humanoid robots that work alongside people to solve labor shortages and create abundance.

The Role
As a Research Engineer in Infrastructure, you will design and implement a robust data engine to manage the data collected by our humanoid robot fleet. You’ll be responsible for making this data easily accessible for querying and training purposes. Your work will support high-quality data pipelines, enabling efficient model development, large-scale annotation, and integration across robotic, on-premise, and cloud systems.

You Will

• Optimize operational efficiency of data collection across the NEO robot fleet

• Design intelligent triggers to determine when and what data should be uploaded from the robots

• Automate ETL pipelines to make fleet-wide data easily queryable and training-ready

• Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets

• Build frontend tools for visualizing and automating the labeling of large datasets

• Develop machine learning models for automatic dataset labeling and organization

Must Have

• Strong experience in building data pipelines and ETL systems

• Ability to design and implement systems for data collection and management from robotic fleets

• Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure

• Experience with data labeling tools or building dataset visualization and annotation tooling

• Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Benefits & Compensation

• Salary Range: $180,000 – $250,000 + Equity

• Health, dental, and vision insurance

• 401(k) with company match

• Paid time off and holidays

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.