Labelbox

Applied Research Engineer

Labelbox

Overview

Role focused on developing systems for high-quality human-in-the-loop data for AI training.

Ideal candidate has 3+ years of ML experience and a strong foundation in AI and machine learning.

250k usd / yearhybridmidEnglishPythonPyTorchJAXTensorFlow

Locations

  • United States, California, San Francisco

Requirements

  • Ph.D. or Master's in related field
  • 3+ years experience in ML
  • Expertise in data quality systems
  • Proficiency in Python and deep learning frameworks
  • Track record of publishing in top-tier conferences
  • Strong analytical and problem-solving skills
  • Exceptional communication skills

Responsibilities

  • Develop AI alignment methods
  • Improve human-in-the-loop data quality
  • Create AI-assisted data labeling tools
  • Investigate human feedback impact on models
  • Optimize human feedback collection
  • Integrate research into products
  • Engage with AI community
  • Contribute to AI research ecosystem

Benefits

  • Career advancement opportunities
  • Hybrid work model
  • Fast-paced environment
  • Ownership and quick decision-making