AI Research Engineer

Qualis; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Qualis in Sunnyvale, CA seeks researchers to develop, fine-tune and deploy advanced AI models for autonomous agents in RL training environments. You will focus on red-teaming, post-training evaluation, and hardened security loops to prepare agents for real-world adversaries.

The role balances research and engineering with autonomy, allowing exploration of new techniques, staying current with AI/LLMs, and contributing to open-source AI projects. MS or PhD and ML experience are welcomed.

Qualifications

• MS or PhD in CS, AI, ML or similar from a top school.
• Experience in Pre or Post Training.
• Open to years of experience from junior-mid to senior level.
• Strong with ML frameworks and Python.
• Extra curricular applied 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.
• Research and stay up to date with AI, LLMs, model eval and fine-tuning techniques.
• Assist and contribute to adversarial LLM red-teaming, developing TTPs and using AI to find vulnerabilities.

Skills

Python

ML frameworks

Adversarial ML

Research experience

Education

MS/PhD in CS/AI/ML

Job description

This is an opportunity to work for the fastest growing AI Security Start-Up in the world. After recently securing the largest Series A Funding amount in their category, they are looking to scale their Lab team which is currently an elite team with Researchers coming from the likes of Meta, xAI, Stripe and world's best academics.

You will work on a team that focuses on deploying autonomous agents into RL 'Training Gyms' to go through complex red teaming exercises, post training, evals and hardened security loops to so agents are trained on the types of adversaries they will face in the real world.

This is a highly compelling role that offers a lot of freedom and autonomy for you to balance research and engineering to your own accord. You will work in a lab environment, conducting cutting edge research, training llms as well as developing custom mechanisms.

Role;

• Develop, fine tune and deploy advanced AI models
• implement fine-tuning techniques to adapt pre-trained LLM's 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

Person;

• MS or PhD in CompSci, AI, Ml or similar field from a top school
• Experience in Pre or Post Training
• Open to years of experience from junior-mid level and senior level
• Strong with ML frameworks and Python
• Extra curricular applied research or contributions to open source projects in ai world is highly regarded