Senior Staff ML Engineer - AI Safety & Evaluation

Responsibilities

• Lead the development of model-level safety defenses to mitigate jailbreaks, prompt injection, and other unsafe 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 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 translate emerging threats into testable evaluation cases and measurable risk indicators
• Stay current on LLM safety research and adversarial prompting trends to implement practical defenses for real-world products

Requirements

• 5+ years of experience in machine learning or AI systems
• 2+ years of experience in a technical leadership capacity
• Experience integrating safety interventions into ML deployment workflows (e.g., inference servers, filtering layers)
• Deep 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
• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related field

About the Company

A10 Networks is building a future where AI systems are not only powerful but safe, aligned, and robust against misuse. Our team focuses on advancing practical safety techniques for large language models (LLMs) and multimodal systems to ensure they remain aligned with human intent and resist harmful or policy-violating content.