Principal Data & Applied Scientist (Deep Learning NLP)

Microsoft Development Center Serbia

4.7

Beograd

15.12.2021.

C# C++ Python C senior

Are you looking for opportunities to deliver innovations to a billion users that improve their daily life? Do you want to be part of a fast-cycle, high visibility and hardcore Natural Language Experiences team with ambitious goals? We are hiring extremely talented, highly motivated and productive applied and data scientists with expertise in building large scale natural language understanding and natural language generation models using cutting edge Deep Learning technologies as well as advanced linguistic knowledge.

As part of the team, you would be driving intelligence experience projects through their entire lifecycle from idea creation through implementation, experimentation and finally to world-wide availability. You would spend much of your time collaborating with product and research teams around the globe (including USA, Ireland, India, China, etc.) on designing and building various deep learning NLP models using latest technologies for Office intelligent services.

The mission of our group is to advance writing assistance in core Office apps and to make fundamental contributions to advancing the state-of-the-art in language technology both within Microsoft and in the industry. Some of the examples of models delivered by the team include state-of-art language generation models such as Text Prediction and Neural Rewrite powered by GPT-3 and Turing. If you are passionate about applying cutting edge NLP technology to positively impact the lives of millions of people, this is the job for you.

Responsibilities

Drive Natural Language Experiences projects through their entire lifecycle from idea creation through implementation, experimentation and finally to world-wide availability
Build and deploy NLP deep learning models for Office scenarios
Work with research teams on the 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

8+ years of research or product experience in machine learning
Experience with deep learning methods for Natural Language Processing
Passion for discovering the next generation of groundbreaking technologies in natural language technology.
Fluency with recent NLP & 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/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.