ML Safety & Evaluation Intern: Guardrails & Robustness

Dynamo AI; Greater London; On-site; GBP 21,000 - 32,000; Full time

Job summary

A leading AI research firm in Greater London is seeking an ML Research Scientist Intern to advance AI evaluation methodologies and ensure adversarial robustness. You will conduct exciting research on model safety and contribute to novel techniques in AI risk remediation. Ideal candidates are pursuing a Master’s or PhD in relevant fields and have a strong foundation in machine learning and AI, with experience in generative systems highly valued. Join us to make impactful contributions to secure AI practices.

Qualifications

• Currently pursuing a Master’s or PhD in Machine Learning, Artificial Intelligence, or Computer Science.
• Strong theoretical foundation in ML and NLP.
• Experience with large language models or generative AI systems.

Responsibilities

• Conduct research on LLM evaluation methodologies and adversarial attack generation.
• Develop techniques for detecting hallucinations and policy violations.
• Design experiments to evaluate AI systems under real-world constraints.

Skills

Machine Learning

Natural Language Processing

Deep Learning

Adversarial ML

AI Safety

Education

Master's or PhD in Machine Learning, AI, Computer Science, or related field

Job description

A leading AI research firm in Greater London is seeking an ML Research Scientist Intern to advance AI evaluation methodologies and ensure adversarial robustness. You will conduct exciting research on model safety and contribute to novel techniques in AI risk remediation. Ideal candidates are pursuing a Master’s or PhD in relevant fields and have a strong foundation in machine learning and AI, with experience in generative systems highly valued. Join us to make impactful contributions to secure AI practices.