AI Researcher: Cambridge Residency Programme

Overview

For our Microsoft Research Cambridge (UK) location, we are seeking highly motivated AI Resident candidates in the area of Deep Learning and Artificial Intelligence (AI) agents with applications.

The successful applicant will work alongside prominent researchers and experienced engineers on driving machine learning technology that leverages our unique data sets and multi-node GPU clusters. This will include developing new insights in areas such as imitation learning, multi-modal representation learning, and pre-training large vision-language models.

This is an exceptional opportunity for a recent graduate or an early career researcher to join a collaborative and interdisciplinary team and generate high impact in the form of product transfers and publications. We have an ambitious agenda, and we are passionate about learning and solving problems together. Working with the world's best researchers and research engineers at Microsoft Research, this role gives you the opportunity to contribute to open research challenges in learning to control embodied AI whilst broadening your area of expertise and continuing to grow into an established research leader.  

When submitting your application, include your CV with a list of publications as an attachment. You may also include links to examples of your published work. 

Responsibilities

• As a part of the team, you will be working with world-class researchers, engineers, and design experts, to create novel learning approaches to control embodied agents, intending to inform future applications in Gaming and Robotics.
• Collaborate to implement and evaluate new approaches, both conceptual and practical, within existing or new emerging cross-company collaborations. 
• Contribute to delivering the team’s, running experiments, utilizing multi-node GPU infrastructure, and rigorously evaluating all ideas with an open mindset.
• Share knowledge and learn from others, participate in design decisions, present your ideas, do pair programming, review code, etc.
• Help to continuously improve our ways of working and the quality of our work, giving constructive feedback, understanding other points of view, suggesting new processes, etc.
• Distil insights into effective communications, such as research papers and presentations, or other forms of communications (for example blog posts) to reach technical and general audiences.

Qualifications

Required Qualifications:   

• Master's Degree in Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing, or a related area.
• Research experience in deep learning, including understanding state-of-the-art model architectures, data pipelines, and methods of evaluation.
• Research experience in at least one of the following or related areas: imitation learning, multi-modal representation learning, pre-training, and fine-tuning large vision-language models.
• Hands-on knowledge of deep-learning frameworks, including knowledge of how to implement, train, and validate deep-learning models.
• Experience publishing academic papers as a lead author.

Preferred Qualifications:

• Doctorate in Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing, or a related area, OR equivalent experience.
• Experience scaling deep learning workloads to maximize responsible utilization of multi-node GPU clusters.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Industry-leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect