Microsoft · 21 hours ago
Applied Scientist
Microsoft is a leading technology company that is committed to empowering every person and organization on the planet to achieve more. The Applied Scientist II role within the Azure Customer Experience Platform team focuses on delivering advanced AI solutions to enhance the quality, security, and reliability of Azure services. You will engage with cross-functional teams to drive AI projects, perform rigorous evaluations, and stay updated on advancements in machine learning.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Engage with product and business groups to drive AI projects through their entire life cycle from idea creation through applied research, experimentation, implementation and finally to worldwide availability
Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback
Communicate technical findings and insights effectively
Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate improvements
Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers
Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle
Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications
Qualification
Required
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
Atleast 6+ months of experience implementing solutions with LLMs and GenerativeAI
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
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers). 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 in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks
Experience delivering AI product features
Relevant prior work experience, e.g., statistics, predictive analytics, research, GenAI
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Recent News
2026-01-14
2026-01-14
Company data provided by crunchbase