Data Engineer

World Labs develops Large World Models, advancing AI beyond language and 2D visuals into complex 3D environments.
Data
Mid-Level Software Engineer
In-Person
AI

Description For Data Engineer

World Labs is at the forefront of artificial intelligence innovation, focusing on developing Large World Models that extend AI capabilities beyond traditional language and 2D visual processing into complex 3D environments, both virtual and real. As a Data Engineer at World Labs, you'll be instrumental in developing cutting-edge AI systems by designing and implementing large-scale distributed data pipelines that power state-of-the-art models.

The role demands expertise in data pipeline design for ML model training, with a focus on processing, curation, and efficient data serving. You'll be working with advanced data management frameworks, requiring both technical excellence and scalability mindset. The position offers an opportunity to directly impact the development of AI solutions that benefit humanity and our planet.

We're seeking candidates who embody the spirit of fearless innovation, resilience, and collaboration. The ideal candidate will have deep domain knowledge in AI/ML specialties and a proven track record of working with large models, either in major tech companies or innovative startups. You'll be joining a global team of bright minds working on technology that will reshape machine perception and interaction with the world.

At World Labs, we value diverse perspectives and are committed to creating AI systems that are spatially intelligent and empowering. Our mission-driven approach focuses on pushing the boundaries of what's possible in AI, making this an ideal opportunity for those who want to be at the cutting edge of technological advancement. You'll be part of a collaborative environment where challenges are viewed as opportunities for innovation and growth.

If you're passionate about applying AI to solve global challenges and want to contribute to groundbreaking research that will define the future of machine intelligence, World Labs offers the perfect platform to make your mark in the field of AI development.

Last updated 24 days ago

Responsibilities For Data Engineer

  • Design, implement, and optimize large-scale distributed data pipelines
  • Develop data processing and curation systems
  • Manage data selection and serving for model training runs
  • Scale systems for large quantities of data and high throughput operations

Requirements For Data Engineer

Python
  • Extensive experience in designing data pipelines for large-scale ML model training
  • Expertise in data management and storage framework implementation
  • Deep domain knowledge in one or more AI/ML specialties
  • Proven track record of working in teams to train or deploy large models
  • Passion for applying AI to solve global challenges

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