This job listing expired on Aug 2, 2023
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Xbox Game Studios makes some of the best AAA games on the planet and the opportunities for a motivated Senior 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 a Senior Applied Scientist 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.

Responsibilities

  • Use expertise in Deep Reinforcement Learning and Computer Vision to identify the right technique to use when examining a problem.

  • Research and develop an understanding of tools, technologies, and methods being used in the research community that can be utilized to improve product quality, performance, or efficiency.

  • Bring new technology and approaches into production by applying long-term research efforts to solve immediate product needs.

  • Collaborate with and bridge the gap between researchers and game development teams.

  • Establish collaborative relationships with multiple Xbox game studios and provide expertise or technology to create business impact.

  • Review business and product requirements and incorporate state-of-the-art research or established solutions in gaming to formulate plans that will meet business goals.

  • Participate in onboarding of other team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.

  • Document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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.

• 3+ years applied research experience in Deep Reinforcement Learning and/or Computer Vision.

• 4+ years of experience across machine learning libraries (TensorFlow, PyTorch, scikit-learn etc.)

Preferred Qualifications

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

    • OR equivalent experience.

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• 3+ years experience conducting research as part of a research program (in academic or industry settings).

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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

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.

Benefits and Perks

  • Industry leading healthcare

  • Savings and investments

  • Giving programs

  • Educational resources

  • Maternity and paternity leave

  • Opportunities to network and connect

  • Discounts on products and services

  • Generous time away