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Applied Scientist II Job Opening In Redmond – Now Hiring Microsoft

Applied Scientist II

    United States Jobs Expertini Expertini › United States › Jobs › Redmond › Life Scientists › Applied Scientist Ii

Job description

Overview

The Time and Places team at Microsoft is at the forefront of redefining how people organize, schedule, and collaborate through intelligent calendar and meeting experiences.

We build AI-powered solutions that enhance productivity—from personalized briefings and intelligent time suggestions to enhance time management experience.

Our work spans deep data science, large language model (LLM) integration, and telemetry-driven insights to deliver seamless, context-aware user experiences across Microsoft 365.

We partner closely with product, engineering, and research teams to drive innovation that scale globally and impacts millions of users daily.


Microsoft Copilot is revolutionizing how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people.

As an Applied Scientist II, your core mission will be to deliver exciting innovation in Microsoft Copilot.

We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals.

The successful applicant(s) will collaborate closely with people across Microsoft’s product teams and Microsoft Research to see their ideas realized in products and services that are used worldwide, as well as to contribute back to the scientific community and beyond (e.g. via presentations, publications, media interviews, and similar).

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:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
  • Experience creating publications (e.g., patents, peer-reviewed academic papers).
  • Deep understanding of fundamental ML algorithms (supervised, unsupervised) and modern neural network architectures.
  • Hands-on experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments.
  • Proven experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering.
    • Other Requirements:
    Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

    These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
    • Preferred Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
  • Experience developing and deploying large language models (LLMs), including agentic systems, supervised fine-tuning, and Reinforcement Learning (RLHF).
  • A track record of delivering successful, large-scale applied ML projects in an industry setting.
  • Experience with MLOps practices, including model versioning, automated testing, monitoring, and CI/CD for machine learning.
  • A record of publication in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, KDD).
  • Ability to translate complex ML concepts into business value and communicate technical insights to non-technical stakeholders.

    • Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year.

    There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

    Certain roles may be eligible for benefits and other compensation.

    Find additional benefits and pay information here:

    Microsoft will accept applications for the role until October 10th, 2025.



    #AppliedScience #T+P

    Responsibilities

  • Lead applied research projects that advance the state-of-the-art in GenAI and directly impact Microsoft's core productivity products.
  • Collaborate closely with product, engineering, and design teams to translate research breakthroughs into practical, high-value applications.
  • Serve as a bridge between research and product, effectively communicating complex concepts and project progress to ensure stakeholder alignment.
  • Mentor colleagues and champion research best practices, sharing your expertise in state-of-the-art machine learning techniques.
  • Work iteratively in a research environment, developing new hypotheses and demonstrating the ability to learn from unexpected or ambiguous outcomes.
  • Share research findings through publications, presentations, and internal forums to influence both the scientific community and internal product strategy.
  • Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.
    • Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

    Required Skill Profession

    Life Scientists


    • Job Details

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    What Is the Average Salary Range for Applied Scientist II Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Redmond. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Applied Scientist II?

    Key qualifications for Applied Scientist II typically include Life Scientists and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Applied Scientist II Job Success

    Microsoft interview tips for Applied Scientist II

    Here are some tips to help you prepare for and ace your Applied Scientist II job interview:

    Before the Interview:

    Research: Learn about the Microsoft's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

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    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

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    Final Thought:

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    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Microsoft's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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