AI Technology PhD Research Internship

What you’ll work on

Explore how your research could inform the next generation of AI compute, working alongside researchers tackling questions shaped by real-world hardware and software challenges.

Our team is interested in numerous topics across the field, working on problems where algorithms, hardware, and systems meet. These topics include large-scale pretraining and post-training of LLMs, efficient inference, numerics, world models, molecule generation for life science applications, and model safety and interpretability. Across all these directions, you’ll come up with new ideas, implement models and algorithms, design experiments, and present your findings (often in the form of a paper).

You’ll have room to follow promising ideas and help shape your research direction, with mentoring as you test your thinking. Your work could contribute to public research shared with the wider AI community.

How you’ll learn and grow

Over the internship, you’ll build research experience by taking a question through experimentation, implementation and analysis.

You’ll develop your judgement about what a result tells you, which ideas deserve further investigation and how to communicate your findings clearly. Exploring both theory and practical experiments will help you understand how your research connects to AI models, hardware and systems, and where you’d like to take it next.

What we're looking for

• Currently studying for a PhD specialising in AI or machine learning.
• Strong coding ability in Python or C++, demonstrated through projects, research or other practical experience
• Experience implementing algorithms in machine learning frameworks such as PyTorch
• The ability to design experiments, interpret results and communicate research clearly, with curiosity about both theory and practical experimentation

Previous industry experience is not required. Tell us about a research question you explored, how you approached it and what you learned through your experiments.

Benefits

• Flexible working: Find a balance between your internship and life outside work
• Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food and a great selection of ice cream!
• Develop your research in an industry setting, exchanging ideas with experienced researchers and engineers

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.