Principal Applied Scientist - Word Copilot Team at Microsoft
, , Bulgaria -
Full Time


Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Generative AI, Deep Learning, Data Analysis, Natural Language Processing, Machine Learning, Software Engineering, Python, Type Script, JavaScript, C/C++, Statistics, Predictive Analytics, Research, Computer Vision, A/B Testing, Mentoring, Technical Guidance

Industry

Software Development

Description
Drive intelligent experiences, projects, and open-ended problems through their entire lifecycle from idea creation through implementation, experimentation and finally to world-wide availability. Leverage Generative AI models but also build and deploy deep learning models. Demonstrate rigor in key scientific procedures in AI based development process - Data, Training, Prompt engineering and Metrics/Evaluation perspective. Work with other research teams on the adoption of the latest technologies. Measure the impact of models and work with product teams on appropriate designs of AI-powered experiences. Define methodology of evaluations applicable to wide range of features. Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user-behavior predictions. Follow documentation and coding best practices, participate actively in code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business goals. Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists and act as mentor and technical lead. Multiply impact cross teams and cross areas of work. Stay current in research and push the state of the art, while influencing roadmaps and product/business strategy. BSc in Computer Science, Electrical Engineering, Mathematics, or related disciplines or equivalent practical experience in software engineering industry. Proficiency with Python and experience with one or more other programming languages including, but not limited to Type Script, JavaScript, C/C++. Effectiveness in working in significant and deep technical problem domains. Strong software engineering fundamentals, including coding, software design, problem solving, and data analysis skills. Passion for discovering the next generation of groundbreaking technologies in machine learning and consistent demonstration of growth mindset. 2+ years of experience in Natural language processing and Generative models. 3+ years' experience designing, developing, leading and deploying products or systems at multiple points in the product cycle from ideation to shipping. Experience with guiding/mentoring a team of applied scientists/researchers/engineers. Ability to effectively work in collaborative multiple project team environments and ship model features in fluid environments. Extensive experience of applied science work (e.g., statistics, predictive analytics, NLP/LLM, research, machine learning, computer vision) Extensive experience of conducting research as part of a research program (with focus on industry settings). Master's Degree or Doctorate in Statistics, Machine Learning, Computer Science, Electrical or Computer Engineering, or related field Strong written and verbal English communication skills.
Responsibilities
Drive intelligent experiences and projects through their entire lifecycle, from idea creation to world-wide availability. Collaborate with research teams to adopt the latest technologies and measure the impact of models on AI-powered experiences.
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