As a Machine Learning Data Engineer, you will build and maintain the pipelines that transform real-world data into AI-ready datasets.
You will work closely with research and engineering teams to deliver scalable infrastructure that supports next-generation AI systems.
Key responsibilities
Design and develop scalable data pipelines
Process and structure large datasets
Optimize data workflows and infrastructure
Collaborate with AI and research teams
Ensure data reliability and performance
Implement monitoring and automation solutions
Requirements
3-6 years in data engineering or software development
Strong Python and SQL skills
Experience with cloud platforms
Knowledge of machine learning fundamentals
Experience building large-scale systems
What we offer
Opportunity to work on AI infrastructure at scale
Competitive salary and benefits
Access to modern engineering tools
Team-oriented engineering culture
High-impact technical challenges
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The Future of AI Starts With Real People.
Join a team building the real-world data infrastructure that helps AI systems better understand people, environments, and everyday life.
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Access authentic, scalable, and compliance-ready datasets built for the next generation of intelligent systems.
Transforming everyday human experiences into high-quality datasets that power the next generation of AI.