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Machine Learning ResearcherGray Swan • New York, New York, United States
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Machine Learning Researcher

Gray Swan
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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.
Trusted at the Frontier 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?
Support That Lets You Do Your Best Work 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.
Do the Work That Matters 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.
Location Remote (U.S. or International)
Employment Type Full time
Compensation
Base Salary $183K – $278K • Offers Equity • Offers Bonus
About Gray Swan 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.
The Role 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.
What You’ll Do
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.
Who You Are Education 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
Experience building and deploying ML models and systems.
Demonstrated expertise in designing, training, and deploying deep learning models, particularly with PyTorch.
Experience developing scalable ML pipelines and integrating with cloud infrastructure (AWS, GCP, or Azure).
ML research experience: building research prototype systems, designing experiments, empirical analysis of results, and communicating results via publications.
Core Technical Skills
Neural network architectures, including transformers, sequence models, and other state‑of‑the‑art approaches.
Strong algorithmic problem‑solving skills and knowledge of ML theory and optimization.
Data preprocessing, transformation, and handling large‑scale, multi‑modal datasets.
Bonus Points If You Have
Experience with LLMs (training, fine‑tuning, or analyzing), synthetic data generation, and AI safety or security work.
AI safety practices: model validation, robustness testing, and continuous monitoring for safety and security incidents.
Familiarity with AI safety and security assessments and adversarial testing.
You’ll Thrive Here If
You are genuinely excited by the intersection of research and engineering, and want to both develop new AI safety ideas and see them running in real systems.
You are motivated by real‑world impact and want your work to directly influence how major AI companies deploy models right now (we work with many of the leading AI labs).
You are eager to deepen your AI safety expertise by working alongside a team that includes some of the most respected and influential thinkers in the field.
You thrive in a fast‑paced, dynamic startup environment where ambiguity is expected.
You bring strong collaboration and problem‑solving skills, with a focus on driving meaningful, lasting impact.
We offer a competitive compensation package designed to reward impact and incentivize growth. Our compensation philosophy is informed by our current valuation and recent industry data.
Equity:
Competitive equity package
401k with up to 4% matching
28 days annual leave (vacation + holidays)
Health, dental, and vision coverage
Catered lunches (Pittsburgh office)
Visa sponsorship available for exceptional candidates
Compensation Range: $183K - $278K
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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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