Microsoft AR/VR Job | Applied Scientist II - Mixed Reality, Spectre AI (Artificial Intelligence) Team
Job（岗位）: Applied Scientist II - Mixed Reality, Spectre AI (Artificial Intelligence) Team
Type（岗位类型）: Research, Applied, & Data Sciences
Citys（岗位城市）: Redmond/United States
Date（发布日期）: 2024-10-11
Summary（岗位介绍）
Applied Scientist II - Mixed Reality, Spectre AI (Artificial Intelligence) Team
In Mixed Reality, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there must be a better way. If you do too, we need you!
The mission of the Spectre AI team is to make fundamental contributions to advancing the state of the art in Geospatial AI, including developing foundation models for aerial object detection, tracking and geolocation, and building an end-to-end AI pipeline using cutting-edge ML (machine learning) techniques and systems optimization. We conduct applied research and integrate our AI solutions on real customer data to deliver high-value and high-impact solutions. We are an extremely agile team that moves fast from ideas to experimentation, and to product development. If you are passionate about exploring cutting-edge ideas and real-world product impact at the same time, this job is for you. We are looking for a motivated Applied Scientist II to come and join us in delivering the next wave of AI experiences.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications（岗位要求）
Required/Minimum Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- 2+ years of professional experience in Artificial Intelligence (AI), Machine Learning (ML), or Computer Vision (CV), including software development with C++ or Python, with demonstrated debugging ability across technology stacks.
- Demonstrated experience in Deep Learning using frameworks such as PyTorch and TensorFlow.
Other Requirements
Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Additional or Preferred Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
- Shippingcomputer visions or machine learning based runtimes.
- Top-tier conference or journal publications in CV/ML/GenAI.
- Experience writing performance critical code in C/C++.
- Demonstrated ability to effectively communicate and collaborate in cross-discipline projects/teams/environments.
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
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）
- You willapply the latest AI, ComputerVision andMachineLearning algorithmstobuildcustomer-centricsolutions.
- You will modify and advance the state-of-the-art approaches in object detection and tracking to deliver best-in-class solutions to our customers.
- You will optimize the run-time performance of the latest Computer Vision and Machine Learning algorithms to meet customer’s requirements on various hardware platforms.
- Partner with industry-leading Engineers, Data Scientists, Designers and Program Managers to deliver solid technical designs.
- Embody ourCultureand Values.
