We're looking for a hands-on AI Data Scientist to push the frontier of AI in AppSec. You’ll lead the next wave of AI in AppSec: LLM‑first, agentic, and multi‑agent systems that reason over complex SDLC context and act with confidence. Your mandate is to architect, productionize, and ship intelligence to power OX’s risk detection, prioritization, and auto-remediation, owning the lifecycle from problem framing through A/B rollouts.
What You’ll Bring
- 5+ years in applied ML/Data Science (or 3+ years plus advanced degree), including taking models to production in data/ML-heavy products.
- Track record of shipping LLM‑centric features (planning, tool use, retrieval, evaluation) or agentic/multi‑agent systems into production, ideally in developer or security products.
- Technical depth in ML/LLMs: Comfort across embeddings, transformers/LLMs, prompting strategies, RAG, few‑/fine‑tuning, evaluation at scale.
- Security domain fluency: Practical knowledge of ASPM/AppSec concepts—SAST, SCA, IaC, SBOM, CVEs/OSV, EPSS/CVSS, supply‑chain attacks, CI/CD systems, K8s/cloud basics.
- Product sense: Ability to translate ambiguous security problems into shippable ML roadmaps, ruthlessly prioritizing the metrics that affect developer workflows and risk reduction.
- Communication: Clear writing, crisp experiment design, and the ability to partner with product, research, and engineering stakeholders.
Top Skills
What We Do
Security teams use OX to prioritize developer resources by finding and fixing the 5% of issues that matter. OX proprietary technology consolidates security intelligence better than anyone on the market today. With OX you can improve appsec security posture without slowing down development, consolidate existing tooling into actionable insights and remediate issues with minimal back and forth
