Senior AI Researcher
Skeletons, lasers, monster trucks — the Torq brand grabs attention like nothing else in cybersecurity. And we’re growing like crazy, with $140M in Series D funding, 200% employee growth, and 300% revenue growth in 2025. Fueling Torq’s growth are our game changing agentic AI security solutions, backed by a team and culture that makes Torq one of Forbes’ Best Startup Employers in America, and a Business Insider ‘startup to bet your career on’.
Life at Torq is all gas, no brakes. We’re a team of relentless, collaborative go-getters pushing the boundaries of what’s possible for security automation. Every role is an essential driver of Torq’s success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? We’d love to see what you can bring to the team.
We are looking for an exceptional Senior AI Researcher to join our fast-growing company during a pivotal stage of market expansion. In this role, you'll lead groundbreaking research in SOC automation, develop industry-defining benchmarks, create innovative prototypes that transform into product features, and establish thought leadership through conferences and publications. If you're passionate about revolutionizing security operations through AI and excited about shaping industry standards, we'd love to hear from you!
What Will You Do?
- Lead research initiatives that redefine SOC automation capabilities, creating industry benchmarks and evaluation frameworks for AI in security operations
- Design and develop functional prototypes that demonstrate breakthrough concepts, transitioning research into product features with engineering teams
- Collaborate with security researchers, Product Marketing, and the Head of AI to analyze competitors and align research priorities with commercial objectives
- Present findings at premier conferences (BlackHat, RSA) and publish tools/content that advance security automation and establish thought leadership
- Mentor engineering teams on advanced AI techniques and their practical applications in security contexts
What Should You Bring to the Table?
- 5+ years working on AI/ML as a Data Scientist/Researcher/Software Engineer
- Experience in cybersecurity domain - a MUST
- Hands-on expertise in developing AI benchmarks, training models, and implementing modern context engineering techniques in production environments
- Proven track record of building and shipping technical solutions through open-source contributions, research prototypes, or commercial products
- Published research, conference presentations, or technical writing combined with strong ability to explain complex concepts to diverse audiences
- Strong proficiency in Python and ML frameworks for rapid prototyping and demonstration
Preferred Qualifications
- Track record of translating research insights into commercial product features
- Previous experience presenting at major security or AI conferences.
- Understanding of the competitive landscape in AI-powered security solutions
As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.