ML Data Engineer (New Grad)

About This Role

Scale AI is hiring ML Data Engineers from campus to build the data pipelines, labeling quality systems, and ML evaluation infrastructure that powers AI development for the world's top AI labs and enterprises. Scale's data is used to train the models behind ChatGPT, Gemini, and autonomous vehicles.

Job Overview

• Job Title: ML Data Engineer (New Grad)
• Company: Scale AI
• Location: San Francisco, CA / New York, NY / Seattle, WA
• Job Type: Full-time
• Experience Level: Entry-level (0–2 years)
• Salary Range: $36–$50/hr
• Posted Date: 2026-06-01
• Application Deadline: 2026-07-01

Role Context

Scale AI sits at the data layer of the AI industry. ML Data Engineers build the tooling and pipelines that ensure training data quality at massive scale — from automated quality checks to human review workflows. Your work directly affects how well the next generation of LLMs and autonomous systems perform.

Key Responsibilities

• Build data validation and quality assurance pipelines for ML training datasets
• Develop tools to measure inter-annotator agreement and label quality at scale
• Write ETL pipelines to process and transform multimodal datasets (text, image, video)
• Implement ML-assisted labeling workflows to improve human review efficiency
• Collaborate with AI lab clients to understand data quality requirements
• Monitor dataset health metrics and respond to data quality regressions

Requirements & Skills

• Bachelor's or Master's in CS, Data Engineering, or a related field (2024–2025 grad)
• Strong Python programming and SQL skills
• Understanding of ML data pipelines and dataset quality considerations
• Experience with data processing tools (Pandas, Spark, or dbt) is a plus
• Attention to detail and high standards for data correctness
• Interest in the data infrastructure behind frontier AI systems

Benefits & Work Conditions

• $36–$50/hr with Scale AI equity and performance bonus
• Hybrid schedule with flexible remote options
• Comprehensive health, dental, and vision benefits
• $1,500 annual learning stipend
• Direct exposure to AI labs working on frontier model development

Who Should Apply

Recent graduates who care about data quality and understand that the best models are only as good as their training data. If you want to be at the infrastructure layer of the AI industry and work with the world's leading AI organizations, Scale AI offers a unique vantage point.

About the Company

Scale AI is the leading provider of AI training data and evaluation services, with clients including OpenAI, Google, Meta, the US Department of Defense, and hundreds of enterprises. Its platform processes billions of data points annually to support model training and evaluation workflows.

How to Apply

Apply at scale.com/careers. The interview includes a coding assessment, a data systems design problem, and a conversation about your interest in ML data quality and AI infrastructure.