Cambridge Residency Programme: Ai Researcher

9 months ago

Cambridge, United Kingdom Microsoft Full time

This will include developing new insights in areas such as imitation learning, reinforcement learning, contrastive learning, generalization, and human-AI collaboration, and to help develop technology that can be used to positively impact billions of gamers. This is an exceptional opportunity for a recent graduate or an early career researcher to join a collaborative and interdisciplinary Agile 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 seek innovative solutions to the world's toughest challenges and improving the lives of people everywhere.

**Responsibilities**:

- Collaborate to implement and evaluate new approaches, both conceptual and practical, within existing or new collaborations within the group and with others.
- Contribute to deliver the team’s goals by supporting every task, from generating novel ideas, to solving engineering challenges, to running experiments, to building infrastructure, to leading meetings, to doing demonstrations. We leverage everyone’s skills, but we are not defined by job titles
- Share knowledge and learn from others, participating in design decisions, presenting your ideas, doing pair programming, reviewing 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/Minimum Qualifications**
- Master's Degree in Artificial Intelligence, Machine Learning, Computer Science, or a related area AND at least one year of research experience.
- 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, reinforcement learning, generalization, contrastive learning, model compression/distillation.
- 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 or essential contributor.

**Preferred/Additional Qualifications**
- Doctorate in Artificial Intelligence, Machine Learning, Computer Science, or a related area, OR equivalent experience.

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