Staff AI Data Platform Engineer - High-Impact, Hybrid

Labelbox

San Francisco (CA)

Hybrid

USD 250,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Career advancement opportunities
Fast-paced work environment
Hybrid work model

Job summary

Labelbox is seeking a Staff Software Engineer for its AI Data Platform in San Francisco. This role emphasizes building reliable systems for frontier AI models, offering a salary range of $250,000 to $280,000 annually.

With a hybrid work model, engineers will tackle challenging problems at the forefront of AI while enjoying growth opportunities tied directly to their contributions. Deep experience in TypeScript and Python is required, alongside a background in full stack development.

Qualifications

  • 4+ years of experience shipping systems.
  • Ability to build and scale full stack prototypes.
  • Strong design judgment in system and API architecture.

Responsibilities

  • Develop evaluation systems to measure AI model quality.
  • Implement fine-tuning pipelines for agent performance.
  • Integrate new AI models into production quickly.

Skills

TypeScript
Python
Full stack development
API design

Tools

Node.js
React.js

Job description

Labelbox is seeking a Staff Software Engineer for its AI Data Platform in San Francisco. This role emphasizes building reliable systems for frontier AI models, offering a salary range of $250,000 to $280,000 annually.

With a hybrid work model, engineers will tackle challenging problems at the forefront of AI while enjoying growth opportunities tied directly to their contributions. Deep experience in TypeScript and Python is required, alongside a background in full stack development.

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