Senior Applied Scientist - Security Research jobs in United States
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Microsoft · 5 days ago

Senior Applied Scientist - Security Research

Microsoft is a leading technology company that aims to empower every person and organization on the planet. They are seeking a Senior Applied Scientist to design and implement advanced security solutions utilizing machine learning and data-driven approaches to enhance user protection globally.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Model development & optimization. Design, develop, fine‑tune, and evaluate models, summarization, and reasoning
Data & evaluation at scale. Build/extend data pipelines for curation/labeling/feature stores; author offline eval harnesses; run A/Bs; define guardrails and success metrics
Production ML engineering. contribute to service code and configs; add monitoring, tracing, dashboards, and auto‑scaling; participate in on‑call and postmortems to improve live‑site reliability
Collaboration & mentoring. Partner across PM/ENG/Research teams and beyond; identify AI technologies to create an adaptive and scalable solution to provide protection for our customers, share methods and code, review PRs, improve reproducibility and documentation; mentor junior scientists
Prototype end to end solutions (working in partnership with other stakeholders) to quickly prove out emergent technologies
Seek out experts across Microsoft and industry to learn about potential solutions and bring back the best and most relevant to solve our most critical problems
Serves as a subject matter expert by owning models and participate in oncall
Let a deep empathy for customers guide you to improvements that make a tangible difference

Qualification

Applied ML/NLP experienceModel development & optimizationStatistical analysisPythonExperimentation & evaluationModel serving/inferenceCollaboration with stakeholdersCRSQLKusto / Azure Data ExplorerPower BIFraud/security experienceAgentic AI developmentAgile environment

Required

Bachelor'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 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
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
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+ years experience bringing new technology and approaches into production by applying long-term research efforts to solve immediate product needs
4+ years applied ML/NLP experience delivering models and features to production at scale
Languages and Technology - Python, R, C, SQL, Kusto / Azure Data Explorer, Power BI
Experimentation & evaluation: sound experimental design, metric design (quality, safety, latency, cost), and statistical analysis; experience running A/B tests
Proven collaboration with partners and stakeholders to integrate ML into shipped product and to drive measurable business impact
Experience with fraud/security a plus
Experience with developing Agentic AI (Artificial Intelligence) in a COGS (Cost of Goods Sold) efficient manner
Experience working across multiple product teams to deliver combined innovations and features and representing innovative work across the greater organization and/or the industry
Able to deliver impact through collaborative work across organizational boundaries and thrive in an agile environment balancing committed work with emerging innovative solutions
Model serving/inference (e.g., ONNX Runtime, vLLM, Triton, quantization, distillation, caching, dynamic batching, rate limiting)
Experimentation: A/B & interleavings, guardrail metrics (quality/safety/latency/cost), sequential testing, eval governance

Company

Microsoft

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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 Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M

Leadership Team

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Satya Nadella
Chairman and CEO
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Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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Company data provided by crunchbase