Full-Time

Senior Full Stack Engineer

Product

Updated on 3/14/2025

World Labs

World Labs

11-50 employees

No salary listed

Senior

San Francisco, CA, USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Python
JavaScript
React.js
Pytorch
Go
Requirements
  • 5+ years of engineering experience in diverse technical environments, ideally delivering user-facing products within product-driven organizations.
  • Experience in the full end-to-end software lifecycle: planning, developing, productionizing, on-call, maintaining, and evolving.
  • Deep understanding and expertise in distributed backend systems, APIs, database management, and security authentication/authorization mechanisms.
  • Experience with user-facing APIs and end-to-end system design.
  • Proficient in at least one of Golang, Node.
  • Proficiency in Python/PyTorch to architect APIs wrapping AI models is a plus.
  • Proficiency in JavaScript and React for front-end development is a plus, with a willingness to work across the stack as needed.
  • Proven ability to operate effectively in startup environments as an early-stage engineer or founder, demonstrating adaptability and ownership.
  • Strong communication and collaboration skills, with a focus on delivering high-quality, impactful solutions.
Responsibilities
  • Design, develop, and maintain backend systems, APIs, and infrastructure to support generative AI products at scale.
  • Own end-to-end development of user-facing features and experiences, leveraging cutting-edge AI research.
  • Collaborate closely with researchers, engineers, designers, and product managers to translate ideas into impactful products.
  • Build and optimize tools and platforms that enhance engineering productivity and support scalability, reliability, and security.
Desired Qualifications
  • Proficiency in Python/PyTorch to architect APIs wrapping AI models is a plus.
  • Proficiency in JavaScript and React for front-end development is a plus, with a willingness to work across the stack as needed.

Company Size

11-50

Company Stage

Seed

Total Funding

$223.7M

Headquarters

Stanford, California

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-generated content in gaming enhances immersive experiences, aligning with World Labs' focus.
  • AI in robotics is expanding, offering World Labs opportunities in healthcare and logistics.
  • Investments in digital replicas are rising, benefiting World Labs' innovative AI models.

What critics are saying

  • Intense competition from OpenAI and Google threatens World Labs' market share.
  • Rapid AI development may lead to ethical and regulatory challenges for World Labs.
  • High-profile investors may pressure World Labs for quick returns, risking strategic misalignments.

What makes World Labs unique

  • World Labs creates AI models for gaming and robotics, focusing on digital replicas.
  • Founded by AI pioneer Fei-Fei Li, enhancing credibility and attracting top-tier investors.
  • Achieved unicorn status within four months, showcasing rapid growth and market interest.

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Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

4%

2 year growth

-10%
Bloomberg
Sep 13th, 2024
AI Pioneer Fei-Fei Li Raises $230 Million for New Startup World Labs

Andreessen Horowitz, Ashton Kutcher and Nvidia are among the investors.

SWI Pipeline
Aug 15th, 2024
World Labs secures $100M funding

World Labs, founded by Stanford Professor Fei-Fei Li, secured $100 million in funding at a $1 billion valuation in a round led by NEA. The company completed two funding rounds within two months, with the first in April involving Andreessen Horowitz and Radical Ventures. World Labs, which became a unicorn four months post-establishment, develops AI models for gaming and robotics that can create detailed digital replicas of real-world objects and environments without extensive data.

TechCrunch
Aug 14th, 2024
Exclusive: NEA led a $100M round into Fei-Fei Li's new AI startup, now valued at over $1B

World Labs, a stealthy startup founded by renowned Stanford University AI professor Fei-Fei Li, has raised two rounds of financing two months apart,