Job Description
About the Role
We’re looking for a Senior Staff Engineer to help lead our efforts in designing, building, and evaluating next-generation safety mechanisms for foundation models.
What You’ll Do
Lead the development of model-level safety defenses to mitigate jailbreaks, prompt injection, and other forms of unsafe or non-compliant outputs
Design and develop evaluation pipelines to detect edge cases, regressions, and emerging vulnerabilities in LLM behavior
Contribute to the design and execution of adversarial testing and red teaming workflows to identify model safety gaps
Support fine-tuning workflows, pre/post-processing logic, and filtering techniques to enforce safety across deployed models
Work with red teamers and researchers to turn emerging threats into testable evaluation cases and measurable risk indicators
Stay current on LLM safety research, jailbreak tactics, and adversarial prompting trends, and help translate those into practical defenses for real-world products
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 5+ years of experience in machine learning or AI systems, with 2+ years in a technical leadership capacity
• Experience integrating safety interventions into ML deployment workflows (e.g., inference servers, filtering layers, etc.)
• Good understanding of transformer-based models and experience with LLM safety, robustness, or interpretability
• Strong background in evaluating model behavior, especially in adversarial or edge-case scenarios
• Strong communication skills and ability to drive alignment across diverse teams
Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related field
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.