Join the Windows Silicon and System Integration team and be a part of shaping the future of edge computing with Microsoft's next-gen edge devices. As a member of our data science team, you will collaborate with top-tier researchers and engineers to develop cutting-edge technologies that will bring compelling new experiences to the market. This is your chance to work on exciting projects and make a real impact in the industry. Don't miss out on this opportunity to bring innovative ideas to life and advance your career with Microsoft.

We are seeking a highly experienced Senior Data Scientist to join our team. The ideal candidate should possess a strong background in Machine Learning, Deep Learning and coding proficiency. They should also have a passion for solving real-world problems in the areas of Computer Vision and NLP. As a motivated team player, the candidate will play a crucial role in developing new models and techniques to deploy them on devices with limited resources.

Responsibilities

• M.Sc. or Ph.D. in Computer Science/ Electrical Engineering or other relevant fields
• Strong theoretical background in classical Machine Learning and Deep Learning
• 5+ years of professional experience as an algorithms developer or a data scientist in the industry
• The ability to develop a feature from scratch to a production level
• Experience in computer vision (both classical and modern methods) or NLP – a must
• Experience in DL compression techniques (sparsity, quantization, knowledge distillation, etc.) – a big plus
• Experience working in deploying models to a real-time/embedded environment – an advantage.
  
  

Qualifications

• 2+ years with Python including libraries like NumPy, SciPy, Scikit-Learn, Pandas – a must
• 2+ years of hands-on experience with PyTorch/TensorFlow
• C++ - an advantage
  
  

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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.