Senior Applied Scientist

Microsoft; Bayern; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company in Bayern is seeking a Senior Applied Scientist to drive innovations in machine learning for real-time collaboration. Candidates must possess a relevant degree and experience in machine learning and software development. The ideal hire will work on improving algorithms for products like Teams, contributing to a collaborative environment. Competitive salary and excellent benefits offered.

Qualifikationen

• Experience in machine learning using tools like Pytorch.
• System development skills with a long-range view.
• Software development experience using Python.

Aufgaben

• Apply machine learning to enhance algorithms for collaboration quality.
• Design and own components for real-time media communication.
• Drive independent investigations leading to product code and publications.

Kenntnisse

Machine learning

Statistics

Predictive analytics

Software development using Python

System development

Ausbildung

Bachelor's Degree in relevant field

Master's Degree in relevant field

Doctorate in relevant field

Tools

Pytorch

C++

Jobbeschreibung

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Teams and other Microsoft services). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Senior Applied Scientist who is passionate about machine learning and driven to make an impact.

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

• Apply machine learning to improve existing and develop new algorithms to improve Teams real-time collaboration quality and reliability and other Microsoft services.
• Understand and be able to leverage core concepts of video and/or audio processing.
• Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
• Drive independent investigations resulting in shipping product code, patents, and publications.
  
  

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 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 related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• Experience in machine learning using tools like Pytorch.
• System development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems.
• Software development experience using Python.
  

Preferred Qualifications

• MSc or Ph.D. in Computer Science, Statistics, Mathematics, Physics or related field OR equivalent experience.
• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Software Development experience using C++.
  
  

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.