Machine Learning Researcher

Gray Swan has made a habit of being first in line. We’re often the first to spot new failure modes, and, by extension, the first to defend against them. Being research-first isn’t a tagline. It’s how we build our products, our playbooks, and our culture of thinking three steps ahead.

Whether it’s stress-testing the latest agentic AI in a lab or helping enterprises deploy at full speed, our goal is the same: uncover the hard problems before anyone else does, then turn that insight into real-world solutions that let innovation happen, safely and without slowing down.

Our research has directly informed the safety evaluations of some of the most advanced AI models in the world.

Your work helps shape how AI is deployed, evaluated, and trusted; from enterprises shipping to production, to researchers pushing new capabilities, to organizations responsible for safety at scale.

You’ll find it here. This is work with real consequences. Looking for a place where your thinking carries weight and where progress is measured in outcomes, not meetings?

Our benefits are designed to support real life, sustained curiosity, and the kind of deep work that meaningful impact requires.

• 28 days off between holidays &PTO: Time off that actually feels like time off.
• 401(k) with up to 4% matching: We invest in the long term; yours included.
• Flexible work arrangements: We care about outcomes, not where your laptop happens to be.
• Professional development support: Learning isn’t optional here. We make room for it.
• Medical, dental, and vision coverage: Comprehensive coverage, because your health isn’t a side project.
• Catered lunches (Pittsburgh office): Good food, fewer decisions, better afternoons.
• Visa sponsorship: Great work knows no borders. We’ll help with the paperwork.
• Short-term disability & parental support: 100% paid, including parental leave, with up to 14 weeks of paid birthing leave. So you can focus on what matters most.

If you’re excited by meaningful problems, real responsibility, and work that shows up in the world, you’ll fit right in. Take a look at our open roles below.

Remote (U.S. or International)

Full time

• Base Salary $183K – $278K
  • Offers Equity
  • Offers Bonus

Gray Swan protects organizations from emerging AI security threats. We build real-time threat detection, automated validation, and adaptive defenses for AI labs and enterprises. We're a team of ~25 people, well-funded, and growing fast.

As a Machine Learning Researcher at Gray Swan AI, you will work at the boundary between research and production — developing new approaches to adversarial testing, model evaluation, and robust inference that directly inform how secure AI systems are built and deployed.

AI security is not a solved problem. This role is fundamentally about research: designing experiments, prototyping novel methods, analyzing results empirically, and translating findings into real systems that withstand adversarial pressure. You will collaborate closely with engineering and platform teams to see your ideas through from prototype to production impact.

• Design and develop novel ML approaches to adversarial testing, model evaluation, and robust inference.
• Build and deploy ML models that meet real-world performance and scalability requirements.
• Design experiments, analyze results empirically, and communicate findings through publications and internal research reports.
• Develop and advance methodologies for controlling, monitoring, and analyzing ML models in production environments.
• Translate research ideas into scalable AI systems deployed in real-world, adversarial settings.
• Work closely with cross-functional teams to ensure research outcomes inform production systems.

Bachelor's degree in Computer Science, Machine Learning, Engineering, or a related technical field.

A Master's or PhD in a relevant technical field is strongly preferred, especially with a focus on machine learning and AI safety.

• Experience building and deploying ML models and systems.
• Demonstrated expertise…