Research Scientist
@ Patronus AI

Hybrid
$150,000
Hybrid
Full Time
Posted 4 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXX****** @patronus.ai
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Job Details

About Patronus AI

Patronus AI’s mission is to provide the security and risk management layer for AI. Our team is composed of experts from Facebook AI Research, Airbnb, Meta Reality Labs, and quant finance backgrounds and supports scalable oversight of AI systems.

Benefits

Competitive salary and equity packages, health/dental/vision insurance, 401(k) plan, unlimited PTO, and fun global offsites!

Responsibilities

  • Develop state-of-the-art systems for AI evaluation using advanced NLP techniques.
  • Conduct novel research on redteaming language models and alignment challenges.
  • Lead research projects including experiment design, dataset collection, and model benchmarking.
  • Collaborate closely with product and engineering teams globally.
  • Experiment with the latest technologies in generative AI and propose system improvements.

Qualifications

  • Publications at top AI conferences (NeurIPS, ICML, EMNLP, ACL).
  • Experience in empirical NLP research in academic or industry labs.
  • Proficiency in transformer-based architectures and evaluation metrics.
  • Strong communication and team collaboration skills.
  • A proactive, learning mindset and relentless drive.

Key skills/competency

  • NLP
  • Machine Learning
  • Research
  • AI Evaluation
  • Redteaming
  • LLM Alignment
  • Transformer Models
  • Benchmarking
  • Dataset Collection
  • Collaboration
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How to Get Hired at Patronus AI

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant AI and NLP research experience.
  • Showcase your publications: List top conference papers and journals.
  • Research Patronus AI: Understand their security and risk management mission.
  • Prepare for technical rounds: Review transformer models and benchmark case studies.

📝 Interview Preparation Advice

Technical Preparation

Review state-of-the-art transformer architectures.
Practice coding experiments on NLP models.
Study benchmark evaluation metrics and datasets.
Analyze recent redteaming research papers.

Behavioral Questions

Describe a challenging research project you led.
How do you adapt to new technological changes?
Explain your teamwork and collaboration experience.
Discuss handling tight deadlines in research projects.

Frequently Asked Questions