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Senior Applied Scientist- Microsoft Teams Labs

Microsoft

Microsoft

Posted on Dec 23, 2024

Senior Applied Scientist- Microsoft Teams Labs

Multiple Locations, Israel

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Date posted
Dec 23, 2024
Job number
1796792
Work site
Up to 100% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time

Overview

Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe.

We are looking to hire an applied scientist to join the science team responsible for some of the Artificial Intelligence innovations and experiences being delivered within Microsoft Teams and similar products.

The team works on state-of-the-art AI models and techniques such as Transformers and Convolutional Neural Networks; and leverage innovation in their architecture, training, fine-tuning, distillation and general design patterns to build innovative features to bring value to our customers.

You will partner with research, product and engineering teams to invent and deliver the future for Microsoft Copilot and other AI products.

This role can be based out of any of Microsoft offices in Israel, with flexibility for in-office or work from home schedules.

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.

Qualifications

Required Qualifications:

  • Master’s degree in Statistics, Computer Science, Mathematics, Electrical or Computer Engineering, or related field.
  • Practical experience in designing, training or fine-tuning Transformer models or LLMs, as well as usage of applied LLM design patterns such as prompt engineering, flow engineering, RAG, self-review, reACT, guardrails, etc.
  • 3+ years practical ML Engineering and Python coding experience leveraging PyTorch or TensorFlow or similar framework, within large code repositories and in collaboration with additional team members.

Preferred Qualifications:

  • PhD in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent.
  • Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs.
  • System development skills spanning rapid prototypes to production systems with complex dependencies.

Responsibilities

  • Conduct applied science experiments, create and validate metrics, develop ML pipelines and algorithms in the fields of Large Language Models, Natural Language Processing, Speech Recognition, and/or Computer Vision.
  • Collaborate closely with other research and product groups within the wider Microsoft organization, to create the next generation of AI innovation in our products and services.
  • Embody Microsoft culture and values.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

Microsoft is an equal opportunity employer. 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.