Responsibilities (Text Only) - Apply advanced engineering techniques and machine learning solutions to address complex location inference, geospatial, and mapping challenges in production environments. - Work across different technology stacks, including processing large-scale data, ranking, and building inferences and services to enhance location-based features. - Engage closely with stakeholders and partner teams to gather requirements, ensuring the delivery of high-quality location services that meet user needs. - Drives identification of dependencies and the development of design documents for a product, application, service, or platform. - Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI). - Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items. - Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Qualifications (Text Only) Required Qualifications: - Bachelor's Degree in Computer Science or related technical field AND proficient technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience. - Solid algorithm and data analytical background with very good understanding on how to apply advanced knowledge to solve real world problems. 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. Preferred Qualifications: - Master’s degree in Computer Science or a related technical field, coupled with proficient years of hands-on engineering experience in coding with languages such as C, C++, C#, Java, JavaScript, or Python. - Demonstrated experience in data analytics, modeling, and applying machine learning techniques to solve complex problems. - Proven experience in designing and developing architectures for large-scale data processing systems. - Deep proficiency in C# and the .NET Framework, or equivalent programming environments. - Excellent ability to collaborate effectively with complex partnerships and cross-functional teams. - Excellent communication skills both verbal and written. - Ability to work independently in a team to deliver innovative solutions solving challenging business/technical problems. - Ability to handle ambiguities and collaborate across multiple groups. 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.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia 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. MicrosoftAI BING J-18808-Ljbffr