Senior AI Model Security Researcher
Redmond, WAJobPosted 1 day agoStill listed today
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Job overview
The Senior AI Model Security Researcher designs and executes white-box attacks against AI models and related systems, investigates adversarial behavior, and builds automated experiments to reproduce realistic threats. The role develops threat models and evidence, assesses impact, and partners with research, engineering, and product security teams to remediate weaknesses. It also turns confirmed findings into evaluations, training interventions, and technical controls, and communicates residual risk to stakeholders.
Skills & qualifications
Skills
Qualifications
Full job description
Design and execute white-box attacks against advanced AI models, checkpoints, post-training systems, reward functions, data pipelines and evaluation environments. Investigate adversarial behavior including jailbreaks, harmful permissiveness, reward hacking, deceptive behavior, capability elicitation, privacy leakage, data poisoning and model supply-chain compromise. Build high-fidelity experiments and automated attack suites that reproduce realistic threats and run continuously against new checkpoints and system configurations. Develop rigorous threat models, attack hypotheses and reproducible evidence; assess severity, exploitability and customer or governance impact. Partner with model scientists, engineers and product security teams to identify root causes and drive findings to verified remediation. Convert confirmed weaknesses into regression evaluations, adversarial training or RL environments, safety training data and stronger technical controls. Communicate findings and residual risk clearly to technical teams, leadership and independent reviewers. Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 4+ years related research experience OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Hands-on expertise in adversarial machine learning, AI security, model evaluation, privacy attacks, offensive security or a closely related discipline. Experience designing experiments or security investigations that produce reproducible technical evidence and actionable remediation. Programming and research-prototyping ability sufficient to build attack tooling, evaluation harnesses and automated tests. Experience testing large language models, post-training or reinforcement-learning systems, agentic systems or AI-enabled security products. Knowledge of reward modeling, interpretability, capability elicitation, data extraction, poisoning, privacy or model supply-chain security. Experience with cyber exploitation, cloud or identity security, sandboxing, secure evaluation environments or offensive-security operations. Demonstrated ability to communicate complex attack paths, severity and residual risk to researchers, engineers and senior decision-makers. Experience converting research findings into production evaluations, mitigations, training interventions or security controls.
How this job compares
Set against the 594 open Machine Learning Researcher jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This postingNot listed
- Washington median$159–229K/yr32 salary ranges
- US median$54–85/hr23 hourly ranges
- Openings
- Olive Jobs lists 83 open Machine Learning Researcher jobs in Washington and 594 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Meta33 open
- Apple9 open
- Microsoft Corporation9 open
- Experience
- This posting asks for at least 3 years of experience; Machine Learning Researcher postings that state a minimum ask for 3 years at the median (226 postings).
- Education
- 241 of the 594 open Machine Learning Researcher jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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