Senior Applied Scientist
Microsoft
Senior Applied Scientist
Redmond, Washington, United States
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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/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 Senior Applied Sciences Specialist 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 SOTA 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.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
- Bachelor's Degree in computer science, deep reinforcement learning, imitation learning, robotics, control, 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+ Experience in implementing and evaluating deep learning models using established frameworks such as Pytorch, JAX, or Tensorflow.
- 3+ years professional work experience in researching and applying AI agents in complex 3D worlds or robotics environments.
- 1+ year(s) experience in designing and implementing scalable deep reinforcement learning training and fine-tuning experiments using established libraries (e.g., SB3, RLlib, Dopamine, TF-Agents, TorchRL)
Additional or Preferred Qualifications (PQs)
- Doctorate in computer science, deep reinforcement learning, imitation learning, robotics, or control AND 3+ years related experience
OR equivalent experience - 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 will accept applications for the role until January 8, 2025
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Responsibilities
- You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
- You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
- You will maintain a research agenda in AI agents, collaborating with researchers and engineering teams to deliver and deploy research products in business applications.
- You will participate in onboarding of 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.
- You will 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.
- 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.