Senior Applied Scientist

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$119,800–$234,700 / yr
Posted
85 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 51% of similar roles. Most pay $162,000–$213,931 — the shaded band above. At the midpoint, this role pays about $177k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist

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As a Senior Applied Scientist on the Microsoft Teams team, you will design and build scalable systems using Large Language Models (LLMs) to enhance user interaction and productivity. Your day-to-day responsibilities include conducting research projects that advance AI technologies while directly benefiting core productivity products, developing conversational and language understanding models at scale, and collaborating with various teams to integrate cutting-edge AI innovations into Microsoft’s offerings. You will work closely with Microsoft Research and other internal groups to create custom LLMs for specific product needs, ensuring responsible AI practices are followed. The ideal candidate has a strong background in machine learning, experience with tools like PyTorch and TensorFlow, and expertise in languages such as Python, Java, or C++. This role offers the opportunity to be at the forefront of transforming how people interact with technology on a global scale.

Skills

Python C# Java JavaScript PyTorch TensorFlow Natural_Language_Processing Machine_Learning Large_Language_Models Vector_Databases Graph_Databases Prompt_Engineering Azure_Open_AI_APIs CI/CD Responsible_AI Privacy_Preserving_Machine_Learning

What you'll do

  • Design and lead research projects advancing state-of-the-art ML in Microsoft’s productivity products.
  • Develop and validate metrics for Large Language Models (LLMs) and related technologies.
  • Deploy conversational and language understanding models at scale, ensuring privacy and responsible AI practices.
  • Work with Microsoft Research and product teams to integrate cutting-edge AI innovations into services.
  • Create custom LLMs and fine-tuned models tailored to specific product needs.

What we're looking for

  • Bachelor’s degree in relevant field and 4+ years of technical experience designing large-scale services.
  • Master's degree or equivalent experience with at least 3+ years of technical engineering in developing algorithms.
  • Doctorate and 1+ year(s) of experience designing, building, running large-scale services and developing algorithms.
  • Experience in machine learning and working on complex distributed services for over 2 years.
  • Expertise in Natural language-based models, vector databases, and graph databases with at least 2+ years.
  • Proficiency using ML tools like Pytorch and TensorFlow for over 3 years.

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