Applied AI Scientist – Autonomous Defense

🕒 September 14

🇺🇸 United States – Remote

💵 $313k - $369k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Horizon3.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.

📋 Description

• Build reasoning systems that map proven attack paths and exploitation telemetry to applicable control changes • Rank control changes by effectiveness and operational blast radius • Turn pentest data into training and evaluation data • Extract why attacks succeeded or failed across environments • Design and run counterfactual experiments in representative test environments • Design reasoning layers across heterogeneous vendor control planes and APIs • Design safety architecture for autonomous changes, including simulation, blast-radius classification, approval gates, staged rollout, rollback, and audit trails • Work with attack and detection engineers to define agent behavior and diagnose failure modes • Own problems end to end in a 0→1 environment

🎯 Requirements

• Strong ML engineering experience building, evaluating, and deploying production AI systems • Hands-on experience in deep learning, transformer models, and PyTorch • Hands-on experience with post-training large language models or agentic systems with tool use, planning, and long-horizon execution • Track record of building evaluation systems for open-ended tasks judged by outcomes • Experience reasoning over configurations, graphs, logs, and policy documents • Strong software engineering fundamentals and experience shipping production-quality Python code • Experience with data pipelines, distributed systems, and cloud infrastructure, preferably AWS • Ability to work across model behavior, APIs, and infrastructure • Ability to independently research unfamiliar systems • Strong written and verbal communication and technical documentation skills • Master's in Computer Science, Machine Learning, or a related field, or equivalent practical experience • 4+ years of professional engineering experience • Interest in how attackers and defenders operate and willingness to learn the domain

🏖️ Benefits

• Equity package in the form of stock options for all full-time roles • Health, vision & dental insurance for you and your family • Flexible vacation policy • Generous parental leave • Career development opportunities • Inclusive and collaborative culture • Remote and hybrid work models depending on role and location