Do you want to help shape and define the future of gaming? Does being at the forefront of innovation excite you?At Xbox Emerging Technologies, we are exploring new emerging technology trends to craft the next era of gaming. We are venturing beyond the horizon and charting a course forward with players and creators at the center.Our goal is to define the future of Xbox by advancing our mission of bringing joy and community to every player on the planet. If you value dynamic and agile teams that are proactively advocating for a diverse workforce, we have a great role for you.The Xbox Gaming AI team is seeking a Principal Research Software Engineer with experience coding and research skills to join our dynamic team. Our mission is to explore and create innovative new Artificial Intelligence/Machine Learning (AI/ML) based features, tools and services- with a focus on diffusion models, generative AI and large language models. This role uses a combination of technical excellence with depth of experience in machine learning, generative AI and transformer models. As with any role focused on incubation and innovation, sound judgement and ability to balance trade-offs in opportunity cost is vital.Required Qualifications:Bachelor's Degree in Computer Science, or related technical discipline AND 6 years technical engineering experience with coding in languages including, but not limited to, C or PythonOR equivalent experience.3 years' coding experience in Python with machine learning frameworks such as TensorFlow and PyTorch. 3 years' experience with natural language processing and machine learning.1 year(s) experience involving reinforcement learning, natural language generation, code generation, computer vision, transformer models, probabilistic programming, statistical modelling or responsible AI issues.Preferred Qualifications: 5 years coding proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or ONNX.Experience in games development on Unreal Engine, Unity, or sufficiently robust in-house engine technologyExperience in machine learning, especially as applied to gaming, including reinforcement learning, natural language generation, code generation, computer vision, transformer models, probabilistic programming, statistical modelling, responsible AI issues.Experience with ONNX and DirectMLExperience converting Machine Learning research into production-ready products or features. Ability to effectively communicate highly technical concepts and insights to a non-technical audience.Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 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.#GamingJobsDevelop and implement state-of-the-art techniques for AI/ML powered tools and technologies for gaming. Provide advice and mentorship to other team members.Work across different incubation projects that may be utilizing different AI/ML approaches and frameworks. Participate in brainstorming, architecture design, experimenting with different ML approaches.Develop an understanding of a breadth of machine learning approaches, including latest state of the art from academic publications, to develop optimal player experiences agnostic of technical approach.Identify and address real user and business needs, rather than creating solutions that are looking for a problem.Being flexible on the set of possible solutions, able to balance user desirability, technical feasibility and business viability.Validate and bring to life ideas through technical prototypes, working with software engineers, applied scientists and researchers.Collaborate and coordinate across multiple teams and stakeholders and solve complex problems that allow for innovative features across all our platforms.Commitment to nurturing a diverse and inclusive workplace and team culture, where every voice is heard and valued.Employment typeFull-TimeWork siteUp to 100% work from homeRole typeIndividual ContributorDisciplineSoftware EngineeringProfessionSoftware Engineering