Applied Scientist II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

199000.0

Posted On

01 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Reinforcement Learning, Predictive Analytics, Statistics, 3D Computer Vision, Generative Modeling, Research, Mentorship, Ethics, Privacy Policies, Pytorch, Tensorflow, JAX

Industry

Software Development

Description

Overview Xbox Game Studios makes some of the best AAA games on the planet and the opportunities for a motivated Applied Scientist are endless. You will have the chance to work on AI (Artificial Intelligence) / ML (Machine Learning) projects and deliver solutions that will change the way we develop games and entertainment services. We are an agile team within Xbox Games Studios Quality tackling a wide range of problems throughout the game development process. Xbox Game Studios makes some of the best AAA games on the planet and the opportunities for a motivated Applied Scientist are endless. You will have the chance to work on AI/ML projects and deliver solutions that will change the way we develop games and entertainment services. We are an agile team within Xbox Games Studios Quality tackling a wide range of problems throughout the game development process. As an Applied Scientest II in Xbox Games Studios Quality, you will be working with major franchises that include Halo, Forza, Gears of War and Microsoft Casual Suite. You will also be involved in all phases of development and sustainment efforts. This opportunity will allow you to research and deploy deep learning solutions in computer vision and reinforcement learning. You will have the opportunity to bring State of the art solutions to the game development pipeline. This position includes flexible work from home options. 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. Responsibilities You will gain expertise in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies. You will apply strategies provided by senior team members and incorporate state-of-the-art research. You’ll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area. As you reinforce a positive environment by applying best practices, you will also support mentorship and assist with the onboarding of entry-level team members. Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked. You will document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information. You will research and develop an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. Apply deep subject matter expert knowledge around several specialized tools/methods to support business impact. Qualifications Required 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. Preferred Qualifications: Doctorate in computer science, deep reinforcement learning, imitation learning, robotics, or control AND 1+ years related experience OR equivalent experience 2+ years experience in implementing and evaluating deep learning models using established frameworks such as Pytorch, JAX, or Tensorflow. 2+ year(s) experience in 3D computer vision (e.g., segmentation, scene understanding), vision generative modeling (e.g., latent diffusion models), and/or deep reinforcement learning agents for exploration and control in complex 3D environments. 1+ year(s) experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience in researching and applying deep reinforcement learning agents or 3D generative modeling in simulated 3D environments. Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

You will gain expertise in AI/ML subareas and apply strategies from senior team members to develop innovative solutions. Additionally, you will document your work and maintain ties with an external network to promote innovation.