Senior Staff ML Engineer - AI Safety & Evaluation
Description For Senior Staff ML Engineer - AI Safety & Evaluation
Qode is seeking a Senior Staff ML Engineer to lead their AI Safety & Evaluation efforts, focusing on building safe and robust AI systems. The role is based in San Jose, California, and requires on-site presence. The position sits at the crucial intersection of model development and real-world deployment, with a mission to ensure AI systems remain aligned with human intent while resisting harmful or toxic content.
The team is dedicated to advancing practical safety techniques for large language models (LLMs) and multimodal systems. As a Senior Staff Engineer, you'll guide a team of research engineers in scaling safety interventions, building red teaming tools, and designing robust evaluations. Your work will directly impact the safety and reliability of AI systems.
Key responsibilities include leading the development of model-level safety defenses, designing evaluation pipelines, contributing to adversarial testing, and staying current with LLM safety research. The ideal candidate brings 5+ years of ML/AI experience, with 2+ years in technical leadership, along with deep knowledge of transformer-based models and LLM safety.
This is an opportunity to shape the future of AI safety at a company committed to responsible AI development. You'll work with diverse teams, translate research into practical applications, and help ensure AI systems remain safe and aligned with human values. The role offers a chance to tackle complex technical challenges while making a meaningful impact on the future of AI technology.
Responsibilities For Senior Staff ML Engineer - AI Safety & Evaluation
- Lead development of model-level safety defenses against jailbreaks and prompt injection
- Design and develop evaluation pipelines to detect edge cases and vulnerabilities
- Contribute to adversarial testing and red teaming workflows
- Support fine-tuning workflows and filtering techniques for model safety
- Work with red teamers to translate threats into evaluation cases
- Stay current on LLM safety research and implement practical defenses
Requirements For Senior Staff ML Engineer - AI Safety & Evaluation
- 5+ years of experience in machine learning or AI systems
- 2+ years in technical leadership capacity
- Experience integrating safety interventions into ML deployment workflows
- Good understanding of transformer-based models
- Experience with LLM safety, robustness, or interpretability
- Strong background in evaluating model behavior
- Strong communication skills
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or related field
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