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Microsoft Computer Science Jobs (NOW HIRING)

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ... Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

... Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured ... Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for ...

Microsoft

Senior Applied Data Scientist

Redmond, WA · On-site

$160K - $261K/yr

... the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: * Master's Degree in Statistics, Econometrics, Computer Science, Electrical or ...

Microsoft

Senior Applied Scientist

Mountain View, CA · On-site

$160K - $261K/yr

... the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: * Master's Degree in Statistics, Econometrics, Computer Science, Electrical or ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

Lead applied science for grounding, search, retrieval, and ranking systems that power Microsoft AI ... Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

... Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing ... Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.

Microsoft

Senior Data Scientist

Redmond, WA · On-site

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

... Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing ... Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.

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How much do microsoft computer science jobs pay per year?

As of Jun 23, 2026, the average yearly pay for microsoft computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microsoft Computer Scientist, and why are they important?

To excel as a Microsoft Computer Scientist, you need a solid background in computer science fundamentals, programming languages like C#, C++, or Python, and at least a bachelor's degree in computer science or a related field. Familiarity with Microsoft's development tools (such as Visual Studio), cloud platforms like Azure, and relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert) is highly valuable. Strong problem-solving, teamwork, and effective communication skills help you contribute to complex projects and collaborate across diverse teams. These skills and qualifications are crucial for innovating, building scalable solutions, and driving success within Microsoft's dynamic technology environment.

What is the highest paying job at Microsoft?

The highest paying roles at Microsoft are typically executive positions such as Chief Technology Officer (CTO) or Vice President of Engineering, which can offer compensation packages exceeding several million dollars annually, including salary, bonuses, and stock options. Senior technical roles like Principal Software Engineering Manager or Distinguished Engineer also command high salaries due to their expertise and leadership responsibilities.

What are the typical collaborative projects a Microsoft Computer Science professional might work on, and how does teamwork influence success in this role?

As a Microsoft Computer Science professional, you will often collaborate with cross-functional teams, including product managers, designers, and other engineers, to develop scalable software solutions. Projects may range from cloud computing services in Azure to building new features for Microsoft Office or Windows. Teamwork is crucial, as success often depends on effective communication, code reviews, and shared responsibilities. Regular stand-up meetings, agile sprints, and pair programming are common practices that help ensure alignment and foster innovation. This collaborative environment not only enhances project outcomes but also supports individual growth through knowledge sharing.

How difficult is it to get hired at Microsoft?

Getting hired for a Microsoft computer science role is competitive and typically requires strong technical skills, relevant experience, and a solid educational background in computer science or related fields. Candidates often go through multiple interview rounds assessing coding, problem-solving, and technical knowledge, with proficiency in tools like programming languages and algorithms being important. The hiring process can be lengthy and demanding, reflecting the company's high standards for technical expertise and problem-solving ability.

What is Microsoft Computer Science?

Microsoft Computer Science typically refers to the study and application of computer science principles within the context of Microsoft technologies. This can include working with programming languages, software development, cloud computing, artificial intelligence, and other tech projects using Microsoft tools like Azure, Visual Studio, and .NET. Professionals in this field may work on developing software, managing IT infrastructure, or creating innovative solutions for business and consumer needs. Microsoft also offers educational programs and certifications for those interested in advancing their computer science knowledge and careers.

Can I make 200K with a computer science degree?

Microsoft Computer Science roles, especially in software engineering, data science, or management, can offer salaries of $200,000 or more at senior levels or in high-cost living areas. Achieving this typically requires extensive experience, advanced skills in programming, algorithms, or cloud platforms, and often involves working in competitive markets or leadership positions.

What jobs can I get with MS in computer science?

With an MS in computer science, common job roles include software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions often require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.
More about Microsoft Computer Science jobs
What states have the most Microsoft Computer Science jobs? States with the most job openings for Microsoft Computer Science jobs include:
What job categories do people searching Microsoft Computer Science jobs look for? The top searched job categories for Microsoft Computer Science jobs are:
Microsoft Computer Science jobs near you
Infographic showing various Microsoft Computer Science job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Principal Applied Scientist

Principal Applied Scientist

Microsoft

Redmond, WA • On-site

Full-time

Posted 11 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

49th of 191 rated software companies

Job description

Overview
The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a passionate and experienced applied scientist architect who wants to build the next generation of recommendations using advanced AI technologies, especially large language models , at scale. We are responsible for content ranking and reranking to deliver most engaging and high quality recommendation results. Our content include news feeds, interest feeds, video feeds, AIGC feeds, etc. We are seeking a Principal Applied Scientist Architect to integrate GenAI and agentic systems into end-to-end ranking stack. This role is ideal for a senior technical leader who combines deep expertise in large-scale recommendation systems, large language models and agentic systems, with the architectural vision to drive cross-team alignment, accelerate innovation, and deliver measurable impact across Microsoft surfaces. You will partner closely with engineering, product, and applied science teams to design, optimize, and scale intelligent ranking systems that power personalized content experiences for millions of users.
Copilot Discover sits at the intersection of content, signals, and user intent. Our ambition is to make it a durable, strategic layer that powers intelligent, personalized, and trusted discovery experiences across a broad array of surfaces where Microsoft engages consumers in their journeys. If you are passionate about building high-scale, AI-driven systems that combine solid architectural rigor with meaningful user value, this is the role for you.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
  • Architect the next generation of ranking, reranking, and retrieval systems for large-scale content recommendation scenarios, for example generative recommendations, agentic feeds, etc.
  • Lead the design of robust, efficient, and extensible ML/DL models pipelines, including feature engineering, model training, evaluation, and online inference. Establish technical standards and best practices for experimentation, model governance, and system reliability.
  • Drive innovation in model architectures (e.g., deep learning, LLM-enhanced ranking, multi-task learning, contextual bandits, reinforcement learning).
  • Partner with engineering, product, and platform teams to align roadmaps, integrate new capabilities, and ensure seamless end-to-end delivery.
  • Invest in others' growth and mentor team members, fostering a culture of scientific rigor, innovation, and operational excellence.
  • Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience including management and leadership.
  • Mentor junior scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.

Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 8+ years of experiences in applied science, deep learning, or related fields, with a solid track record of delivering production ML systems at scale.
  • Expertise in recommendation systems, ranking models, search relevance, or personalization.
  • Experience applying LLM techniques or Recommendation system.
  • Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow), data processing systems, and cloud-scale infrastructure.
  • Demonstrated ability to lead cross-functional initiatives and influence technical direction across multiple teams.
  • Solid communication skills with the ability to articulate complex technical concepts to diverse audiences.
  • Experience with LLM-based ranking, agentic AI, or generative AI applied to recommendation or personalization.
  • Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, KDD, WWW, RecSys).
  • Solid architectural skills with experience designing large-scale ML systems, distributed pipelines, and high-throughput online services.
  • Experience working through full product cycles from initial design to final product delivery.
  • Experience developing and designing backgrounds in multi-tiered distributed services.
  • Experience with data structures, algorithms, asynchronous programming, and data processing. Knowledge and experience in large scale data analytics, such as Spark.
  • Experience working with heterogeneous signals (behavioral, contextual, semantic embeddings) and multi-objective optimization.
  • Experience developing end to end ML/DL systems.

#MicrosoftAI #MAICopilotDiscover
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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