AI Research Engineer - RL Security & Red Teaming

Qualis; Sunnyvale (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Qualis in Sunnyvale, CA is seeking an ambitious AI security researcher to join our lab and work on deploying autonomous agents in RL training gyms to stress test GenAI systems.

You will balance research and engineering, train LLMs, implement fine-tuning techniques, and contribute to adversarial red-teaming, with freedom to push boundaries in a cutting-edge lab. This role offers significant autonomy and collaboration with researchers from leading labs.

Qualifications

• MS or PhD in CS, AI, ML or similar from a top school.
• Experience in Pre or Post Training.
• Open to junior to senior level candidates.
• Strong with ML frameworks and Python.
• Extracurricular research or open source contributions in AI are highly regarded.

Responsibilities

• Develop, fine tune and deploy advanced AI models.
• Implement fine-tuning techniques to adapt pre-trained LLMs to new tasks and domains ensuring the best performance, quality and accuracy.
• Research and innovation; stay up to date with latest research and advancements in AI, LLMs, Model Eval, Fine Tuning techniques.
• Assist and contribute to adversarial LLM red-teaming, developing TTPs and using AI to find vulnerabilities in GenAI applications.

Skills

ML frameworks

Python

Pre/Post Training

Open source contributions

Education

MS/PhD in CS/AI/ML

Job description

Qualis in Sunnyvale, CA is seeking an ambitious AI security researcher to join our lab and work on deploying autonomous agents in RL training gyms to stress test GenAI systems.

You will balance research and engineering, train LLMs, implement fine-tuning techniques, and contribute to adversarial red-teaming, with freedom to push boundaries in a cutting-edge lab. This role offers significant autonomy and collaboration with researchers from leading labs.