Senior Data and Applied Scientist (Deep Learning)

Microsoft’s mission is to empower every person and organization on the planet to achieve more. This is what inspires us.
Microsoft Development Center Serbia → profil kompanije

Come join Microsoft Office to work on state-of-the-art services and platforms and deliver next generation of productivity experiences for billion users!  We are looking for data scientist who can help us further grow our team, products, and culture. 

Microsoft Office is a suite of products and experiences used across the globe. At Microsoft Office team in Microsoft Development Center Serbia (MDCS), we have been focusing on reimagining and empowering Microsoft Office productivity through AI-powered user experiences and services built across core Microsoft Office applications. The team is relentlessly focused on making AI and tech work for people. 

Data science team within Office Serbia is focused on end-to-end building and deploying state-of-the-art deep learning models for various AI applications across MS Office suite of products. Team is working with product and research teams around the globe on designing and building various deep learning models, such as Deep Transformer-based networks, GANs, Language models, Multi-modality fusion methods, etc. If you are passionate about applying cutting edge deep learning technology to positively impact the lives of millions of people, this is the job for you. 

Responsibilities

  • Drive intelligent experiences projects through their entire lifecycle from idea creation through implementation, experimentation and finally to world-wide availability 
  • Build and deploy deep learning models for Office scenarios 
  • Work with research teams on adoption of latest technologies
  • Ensure performance and latency of models is appropriate for interactive real-time scenarios 
  • Design and build feedback loops for retraining models from production 
  • Measure the impact of models and work with product teams on appropriate designs of AI-powered experiences 
  • Follow documentation and coding best practices 

Qualifications

  • 4+ years of research or product experience in machine learning, with focus on deep learning 
  • Passion for discovering the next generation of groundbreaking technologies in machine learning 
  • Fluency with recent ML advancements, e.g. transformers, distillation, etc.
  • Hands-on experience in Deep Learning using frameworks such as PyTorch, TensorFlow, Keras, etc. 
  • Strong coding skills in one or more of Python, C#, C/C++ . 
  • Strong ability and effectiveness working in a significant technical problem domain, in the term of plan, design, execution, continuous release and service operation. 
  • Passionate and self-motivated. 
  • Ability to effectively work in collaborative multiple project team environment and ship model features in a fast-paced startup environment.
  • Good communication skills, both verbal and written. 
  • Customer/End results/Metrics driven in design and development. 
  • Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment 

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 request via the Accommodation request form.

Benefits and Perks

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

  • Industry leading healthcare
  • Savings and investments
  • Giving programs
  • Educational resources
  • Maternity and paternity leave
  • Opportunities to network and connect
  • Discounts on products and services
  • Generous time away

Prijavi se do 11/10/21

Lokacija — Beograd

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