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Principal Researcher - Reinforcement Learning

Location: Cambridge
Company: Microsoft
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Microsoft AI and Research works with the world's best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world's toughest challenges and improve the lives of people everywhere.
For our Microsoft Research Cambridge (UK) lab, we are seeking exceptional Principal Researcher candidates in the area of Reinforcement Learning. This is an opportunity at a senior level and we explicitly encourage applications from candidates with extensive research experience in reinforcement learning and/or related research areas. The successful applicant is expected to lead world class research aimed at developing actionable insights that enable applications in video games and other real-world applications. This is an exceptional opportunity to drive ambitious research while collaborating with a diverse team to push for novel applications of reinforcement learning in gaming and beyond.
There is no closing deadline for this post. The post will be filled once suitable candidates are found so if you are interested please apply as soon as possible. When submitting your application, include your CV with a list of publications as an attachment. You may also include your published work. For more information about the post, please feel free to email Katja Hofmann at
- Develop and drive a high-impact, research agenda in reinforcement learning.
- Collaborate to develop and test out new research ideas, including conceptual and theoretical innovation, implementation, experimentation, and communication of research outcomes.
- Identify key opportunities for impact within Microsoft, and more broadly, and taking on leadership in exploring potential of opportunities and developing and executing strategies for high-impact research projects and collaborations.
- PhD in reinforcement learning, game AI, or a related area, or equivalent experience.
- An established ambitious research program demonstrated by high-impact journal and/or conference publications or similar high-impact research artefacts.
- Strong understanding of state-of-the-art reinforcement learning approaches and of key directions and opportunities in the field.
- Hands-on experience in implementing and empirically evaluating reinforcement learning and related machine learning approaches. Experience with deep learning approaches is a plus.
- Demonstrable leadership skills, which can be demonstrated in formal or informal leadership roles.
- Demonstrable ability to work in a multi-disciplinary team.
- Effective communication skills and ability to work in a collaborative environment.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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