Research Scientist Intern, Consumer Agents Team PhD

This internship is based in London, UK.

Responsibilities:

• Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques.
• Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics.
• Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems.
• Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions.
• Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.
• Disseminate research results through publications, presentations, and open source contributions.
• Experience with Python, C++, C, Java or other related languages.
• Experience building systems based on machine learning and/or deep learning methods.

Minimum Qualifications:

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience with Python, C++, C, Java or other related languages.
• Experience building systems based on machine learning and/or deep learning methods.

Preferred Qualifications:

• Intent to return to the degree program after the completion of the internship/co-op.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences.
• Experience working and communicating cross functionally in a team environment.