Microsoft AR/VR Job | Senior Research Scientist and Engineer – Mixed Reality & AI
Job（岗位）: Senior Research Scientist and Engineer – Mixed Reality & AI
Type（岗位类型）: Engineering
Citys（岗位城市）: Cambridge, United Kingdom
Date（发布日期）: 2022-3-23
Summary（岗位介绍）
Mixed Reality and AI Research Scientists and Engineers
The Mixed Reality & AI Lab in Cambridge (UK) is a research team building the future for mixed reality.We bring innovative new technologies and experiences from early-stage research to deployment in Microsoft products. Our focus is to enable transformative new remote presence experiences that combine next-generation mixed reality hardware with AI software to improve remote communication and collaboration.The team has a diverse wealth of experience across computer vision, graphics, neural rendering, deep learning, interaction, human character animation and software engineering, and has a strong track record of shipping ground-breaking technologies in Microsoft products including Kinect and HoloLens. To get a taste of our research, see work at ICCV '21 on neural rendering and synthetic data, or upcoming work at CVPR '22 on human pose prediction.
The team is growing, and we are looking for talented researchers and software engineers with experience in computer vision, graphics, and machine learning: people who love to invent and build new stuff that really works and can be deployed to millions of users.
Microsoft in Cambridge, UK
The Microsoft building in Cambridge houses around 200 researchers and engineers working across different parts of Microsoft, including Mixed Reality, Azure, and Microsoft Research. The city of Cambridge, England, was the clear choice for the location of the facility because of its world-renowned reputation and its rich history as a centre of learning.
Microsoft offers a competitive base salary plus bonus, excellent benefits package and stock.
Our state-of-the-art offices in the beautiful and historic university city of Cambridge are right next to the main railway station, offering easy links to London. We have an onsite restaurant, onsite gym, free car parking and one of the best views of Cambridge and the surrounding countryside from our 5th floor roof terrace.
Qualifications（岗位要求）
Required Skills
- Should hold
- a PhD or similar degree in computer vision, computer graphics, machine learning, mathematics or physics (or have suitable alternate expertise and experience)
- Must be strong programmers with software engineering experience and good debugging skills. Experience in one or more of the following would be advantageous:
- C++ (especially C++11 and newer), Python, C#
- GPU programming (especially CUDA)
- Graphics programming (especially DirectX and OpenGL)
- High- and low-level code optimization
- Digital image processing
- Should have hands-on experience working on at least one of:
- 3D computer vision, ideally including experience of analysis of the human body/hands/face
- Machine learning, especially deep learning
- 3D computer graphics, ideally including experience of simulating the human body/hands/face
- Probability and statistics
- Numerical algorithms, e.g. nonlinear optimization
- Should have strong mathematical skills
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.
Description（岗位职责）
- Incubate new ideas, solve problems, and build world-class products, systems and platforms.
- Show self-motivation and excellent collaboration and communication, with attention to detail and a desire to learn.
- Develop technology that can adapt to the fast-evolving roadmap that is typical for an academic or industrial research environment, while maintaining the quality required as a foundation for future work.
