Applied Research Engineer, Agents

Labelbox

San Francisco, California, United States
Base: $250,000 - $300,000 usd; bonus/equity: not s...
On-site
Ph.d. or master's in computer science
3+ years ml problem delivery experience
Experience building autonomous agents with sft and rl
This role sits at the junction of advanced AI research and real product impact, focusing on data that makes modern agents work

Job Summary

  • This role sits at the junction of advanced AI research and real product impact, focusing on data that makes modern agents work.
  • You will create frameworks to construct, train, benchmark, and evaluate autonomous agent capabilities using supervised fine-tuning and reinforcement learning.
  • The position offers a high-impact environment where you can take on expanded responsibilities quickly with career growth tied directly to your contributions.

Matching Summary

This role sits at the junction of advanced AI research and real product impact, focusing on data that makes modern agents work.

Salary

Base: $250,000 - $300,000 USD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Ph.D. or Master's in Computer Science
  • 3+ years ML problem delivery experience
  • Experience building autonomous agents with SFT and RL
  • Proficiency in Python, PyTorch, JAX, TensorFlow
  • Track record of publications in top-tier AI venues

Nice-to-have

  • High agency and rapid execution mindset
  • Ability to turn research into prototypes quickly
  • Collaboration with frontier AI lab customers
  • Strong analytical skills in ambiguous situations

Key Requirements

  • Ph.D. or Master's degree required
  • Minimum 3 years of relevant ML experience
  • Publications in top-tier AI/ML conferences

Work Rights

Not specified

Tailored Resume

Cover Letter