At Microsoft Ads, we’re building the future of intelligent, privacy forward measurement systems that help our advertisers understand, optimize, and accelerate their business growth across the Microsoft ecosystem.We’re looking for a Principal Product Manager – Ads Measurement to lead the vision and execution of our next generation of measurement products that help advertisers see the true value of their investments across Microsoft Ads and AI‑powered surfaces. You will define how we quantify impact, how we help marketers make smarter decisions, and how measurement becomes a strategic advantage for our customers and for Microsoft. We are committed to inclusive design and creating products that empower people of all backgrounds to do their best work. 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. 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. 

• Lead vision, strategy, and roadmap for Microsoft Ads’ measurement platform.
• Build and launch measurement capabilities, including attribution, incrementality, cross‑channel reporting, and AI‑driven insights.
• Partner with engineering, UX, and data science to design, validate, and ship features with measurable customer and business impact.
• Collaborate with marketing, sales, and account teams to ensure products meet advertiser needs and drive adoption.
• Define and analyze product metrics to guide decisions and evaluate performance.

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience driving strategy and shipping complex data, analytics, or measurement products at scale.
• Demonstrated ability to collaborate with engineering and cross‑functional partners to deliver high‑impact features.
• Solid understanding of advertising or marketing technology, including measurement, attribution, experimentation, or performance optimization.
• Ability to translate complex technical concepts into clear product direction and customer value.
• Excellent communication, storytelling, and stakeholder management skills.

Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 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.

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.

• 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.

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 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

The Microsoft Edge Browser Security Team is responsible for securing Edge client code. Our work broadly fits into three distinct categories: Engagement, Proactive, and Reactive security. We work closely with developers, engaging with them to ensure principals such as defense in depth and secure by default are architected into everything we do. Additionally, we perform proactive vulnerability research and analysis at scale to highlight high risk attack surfaces and identify security bugs before hackers do. Finally, we ensure that our reactive response flows are monitored and maintained, tracking reports from external finders, and working with threat intelligence teams to stop active threats to our customers. Throughout all of this, you will work with our industry partners to contribute security improvements to the Chromium project to make the web safer for everyone.

As a Security Engineer II in Edge Browser, you will be expected to have knowledge and experience of cybersecurity principals. Ideal candidates will have or quickly obtain a technical knowledge of code audit, fuzzer development, crash analysis and web security. Successful candidates will demonstrate the ability to adopt an adversarial mindset, finding creative ways to break assumptions, identify gaps, and bypass security functions. It is highly beneficial to also have a deep understanding of security fundamentals, computer science skills, and a passion for keeping Microsoft’s customers safe.

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.

• Identifies security issues within assigned areas and proposes mitigation steps, escalating complex or high-impact risks as needed.
• Supports implementation of mitigation, response, and remediation activities using established tools, guidelines, and best practices.
• Investigates, diagnoses, and triages security incidents with minimal guidance, following defined incident response processes.
• Contributes to incident management, including stakeholder communication and postmortem/root cause analysis.
• Participates in security reviews (e.g., architecture, design), documents findings, and collaborates on remediation plans.
• Applies secure design and development best practices across feature areas to reduce vulnerabilities and improve resilience.
• Assists in monitoring and responding to security events, vulnerabilities, and compliance issues, escalating as appropriate.
• Contributes to operational security efforts and helps identify opportunities to improve security posture.
• Partners with others to implement solutions for defined security problems and improve existing tools and processes.
• Collaborates across teams, incorporates customer and partner feedback, and continuously builds expertise in security technologies and practices.

Required Qualifications:

• Master’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 1+ year(s) experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • OR Bachelor’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 2+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • OR equivalent experience. 

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:

• Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field

  • OR Master’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection 
  • OR Bachelor’s Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection
  • OR equivalent experience.
• Experience with relevant security research along with relevant CVEs (if available) ideally in browser vulnerability discovery.
• Experience with writing basic exploits for native or web applications.
• Development and deployment of fuzz testing and/or static analysis software.

#MicrosoftAI #EdgeVR #EdgeSecurity

Security Research 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:
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.

Microsoft AI (MAI) is building AI‑powered, content‑driven experiences used by hundreds of millions of people globally. Our products sit at the intersection of consumers, publishers, creators, advertisers, and sales partners—and increasingly require clear articulation of how and why we make product decisions, not just what we ship. 

We are looking for a Principal Product Marketing Manager to deliver a clear articulation of our product’s value in the marketplace – to publishers, to the sales team and to customers.

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.  

• Own the product narrative for MAI Content 
  • Work directly with Product and Engineering to explain how and why MAI Content makes product decisions, including areas like AI-generated content (AIGC), Publisher Content Marketplace (PCM), monetization approaches, recommendation & personalization systems, content formats, and roadmap tradeoffs. 
  • Translate internal product logic, constraints, and principles into clear external‑facing narratives for sales, partners, and publishers, without over‑simplifying or over‑promising. 
• Articulate MAI Content’s AI principles, quality standards, and guardrails 
  • Help define and communicate MAI’s principles for AI‑generated content, including quality bars, safety considerations, and trust frameworks. 
  • Partner closely with Product and Policy to ensure our external messaging reflects how the systems actually work, not aspirational abstractions. 
  • Serve as a steward for clarity in areas where AI behavior, evaluation, or tradeoffs are non‑obvious. 
• Define audiences, formats, and ecosystems—globally 
  • Own MAI’s audience and format narratives, including how different products and surfaces behave across regions and use cases. 
  • Clearly explain how MAI audiences show up for publishers, creators, and sales teams, and how formats and inventory should be understood in context. 
  • Ensure audience narratives are consistent, grounded in reality, and usable across GTM motions.  
• Partner deeply with Sales on positioning and revenue growth 
  • Work with Sales to define new brand and product positioning, particularly for emerging monetization and ad products. 
  • Translate product capabilities into sales‑ready narratives that support revenue growth without distorting product truth. 
  • Act as a strategic thought partner to Sales leadership on how MAI offerings should be framed in market.  
• Shape MAI Content’s internal and external communications channels 
  • Develop narratives for internal and external communication about our product strategy, roadmap and how it connects to the values of journalism and quality content.  
  • Ensure consistency between our team and MAI / MSFT core narratives.  
• Be a connective tissue across MAI 
  • Operate as a trusted cross‑functional partner spanning Product, Marketing, Monetization, Sales, Policy, Growth, and Leadership. 
  • Identify gaps where product intent, market understanding, and execution are misaligned—and step in to close them. 
  • Contribute to MAI‑level strategic documents, narratives, and leadership conversations. 

Required Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in business OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Marketing, Computer Science, Business or related field AND 8+ years marketing or sales experience
  • OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 12+ years experience in business 
  • OR equivalent experience.
• 10+ years of experience in Product Marketing, Product Strategy, or adjacent roles at scale. 
• Experience working on platforms, ecosystems, or AI‑driven products where behavior and outcomes are not always deterministic. 
• Proven ability to translate complex product or technical concepts into clear, persuasive narratives for senior stakeholders. 
• Solid judgment around trust, quality, and external commitments. 
• Exceptional written and verbal communication skills.
• Experience working with publishers, creators, or advertising‑adjacent ecosystems.
• Familiarity with AI/ML‑driven products, product evaluation, or policy‑adjacent constraints. 
• History of partnering closely with Sales on high‑stakes positioning and revenue narratives. 

#MicrosoftAI #Product Marketing #Content

Product Marketing IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 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 $165,600 – $272,300 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.

Microsoft AI (MAI) is a customer‑first organization building AI‑powered products that help people and businesses achieve more. As the world undergoes a profound AI platform shift, we are looking for product leaders who can operate several steps ahead—anticipating what the future will demand and translating that vision into clarity, strategy, and execution today.

As a team, we play a central role in discovery, crawling, selection, document processing & aggregation of web graph. Work in our team is unique in that you’ll be able to work with trillions of documents, which pushes the boundaries of our infrastructure and computational resources. Moreover, it provides interesting challenges that haven’t been encountered before, thereby combining research and product applications.

We are looking for the best and brightest to join our team and help us apply the next generation of LLM, NLP, deep learning, large scale distributed systems and informational retrieval techniques. As a Principal Product Manager, you will lead the coordination between the Search Platform team and MAI Super-Intelligence team to build scalable and high-quality training pipelines. The candidate will focus on defining KPIs for success, doing deep data analysis, writing product specifications and delivering complex large projects.

This is a highly collaborative, cross‑functional role ideal for someone who thrives in operational complexity, is deeply organized, and loves working at the intersection of people, process, and product quality. You will partner closely with engineering, research, design, data science, legal, privacy, and security teams to build compliant, scalable, high‑quality AI systems that serve hundreds of millions of users.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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.

• Strategy & Vision
  • Define the multi‑year product vision and strategy for MAI’s Training Pipelines, related Success metrics, Feedback loops, and Testing mechanisms.
  • Create strategies for collecting training data for next generation documents, understanding models that are multi-modal and non-HTML like PDF.
• Execution & Delivery
  • Define success criteria, OKRs, and KPIs across multiple product surfaces and organizational boundaries.
  • Establish methodologies for Deep Learning and AI infrastructure and platform support than engineers can use.
  • Drive platform architecture decisions in partnership with engineering and research teams.
  • Plan, size, and continuously optimize capacity (compute, storage, data throughput, and cost) to build, scale, and operate training pipelines reliably.
• Cross‑Functional Leadership
  • Partner with Legal, Privacy, Security, HR, and Compliance teams to ensure platforms are compliant‑by‑design.
  • Collaborate with teams across Microsoft that need training data.
  • Define and evangelize processes for developers and researchers to improve labeling workflows, model‑as‑a‑judge systems, and agentic evaluation pipelines.
• Innovation & Technical Depth
  • Research, design, and operationalize new evaluation techniques and metrics that improve the quality and reliability of LLM and ML‑based products.
  • Go deep into new technical areas quickly and provide clarity to engineering teams on requirements, architecture, and tradeoffs.

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
• Outstanding Analytical skills.
• Experience in writing good detailed technical specifications for all new features.
• Good Understanding of LLM, Big Data, Machine Learning, and Data Mining.
• Understanding of Security, Privacy and Compliance practices.
• Attention to detail, planning, organization, and project management skills .
• Ability to quickly adapt to new technology and go deep in new focus areas.
• Excellent oral and written communication skills with the ability to collaborate effectively with a large number of partners and customers and translate requirements into a product vision and roadmap.

#MicrosoftAI #ProductLeadership #AIProductManagement #AgenticAI #LLM #AIPlatforms #EvaluationSystems #ResponsibleAI #TechLeadership #MicrosoftCareers #MachineLearning #ModelTraining #AITraining #MLOps

Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

The Microsoft Advertising Mediation Service (MMS) is the real-time auction and mediation platform that sits at the heart of Microsoft’s advertising stack. Built on Go and derived from Prebid Server, MMS processes OpenRTB traffic at global scale across multiple Azure regions, running header-bidding auctions, executing bidder filtration, applying dynamic reserve pricing, and powering experimentation across Microsoft’s owned-and-operated and third-party supply (Outlook, MSN, Xandr, LinkedIn, MSAN, and more).

We are looking for a Principal Software Engineer to set the technical direction for MMS as it scales to the next order of magnitude of traffic, supply types, and auction complexity. This is a deeply technical IC role: you will own architecture decisions that span the request hot path, the experimentation framework (flights/TSGs), bidder adapter ecosystem, and the Azure-native infrastructure that runs it all. You will partner closely with engineering leads, PMs, data science, and partner teams across Microsoft Advertising to shape the roadmap, raise the engineering bar, and mentor senior engineers across the org.

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.

• Technical Leadership
  • Own the long-range architecture of the MMS platform: the OpenRTB request hot path, auction engines (best-price, priority, dynamic reserve price, multi-placement), bidder adapter framework, and the experimentation/flights system.
  • Drive cross-team technical strategy with peer principals across Microsoft Advertising — bidders, supply integrations, brand safety, identity, measurement, and billing.
  • Set and enforce engineering standards through design reviews, code reviews, technical RFCs, and mentorship of senior and staff-level engineers.
  • Identify and resolve systemic risks across reliability, latency, cost, and correctness before they reach production.
• Service & Platform Development
  • Design and build highly scalable Go services on the MMS platform, with strict latency and availability SLAs measured in single-digit milliseconds and five nines.
  • Evolve the bidder adapter framework to support new supply types (display, native, video) and new integration patterns (server-side header bidding, deal-based, programmatic guaranteed).
  • Improve the auction subsystem — pricing, filtration (L1 brand safety, IP blocks, embargoes), bidder selection, and response shaping — with measurable revenue and quality impact.
  • Strengthen the experimentation framework (flights, traffic sub-groups) so PMs and data science can ship A/B tests safely at high cadence.
  • Improve observability of the request path: structured Event Hub logging, sampling strategies, metrics, and tracing across the bidder fan-out.
• Infrastructure & Cloud
  • Drive Azure-native deployment and operational excellence across AKS, ACR, Azure Key Vault, Azure Blob Storage, Azure Event Hubs, and Azure AD.
  • Lead initiatives to reduce cost-per-request, improve cold-start and config-reload behavior, and harden cross-region failover.
  • Improve CI/CD on Azure DevOps, including canary, progressive rollout, and automated rollback strategies.
• Org-Wide Impact
  • Lead initiatives that make delivery of high-quality software routine and efficient across the full SDLC — from inception and technical design through testing, deployment, and oncall.
• Contribute to runbooks, deployment documentation, and oncall readiness
  • Lead efforts to raise the bar on incident response and institutionalize effective post-incident learning.
  • Leverage AI dev tools across the software development lifecycle to raise team-wide engineering productivity.

Required:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years of experience building and operating latency-sensitive backend services with strict SLA requirements (P99 measured in milliseconds, five-nines availability).
• Go — deep production experience, including profiling, GC tuning, concurrency patterns, and performance-sensitive code on the request hot path.
• OpenRTB / programmatic advertising — hands-on experience with header bidding, real-time bidding, mediation, exchanges, SSPs/DSPs, brand safety, or identity/cookie syncing. Familiarity with Prebid Server or similar auction platforms.
• Auction systems — experience designing or evolving pricing logic, bidder filtration, dynamic reserve pricing, or floor-price optimization at scale.
• Kubernetes & Azure — production experience with AKS, ACR, Azure Key Vault, Azure Event Hubs, Azure Blob Storage, Azure Application Insights, and Azure DevOps; comfortable with multi-region, multi-cluster deployments.
• Distributed systems — solid grasp of consistency trade-offs, fault tolerance, distributed caching, and cross-region replication patterns.
• Experimentation platforms — experience designing or scaling A/B testing frameworks, feature flags, or controlled rollout systems.
• Observability — experience with structured logging, high-cardinality metrics, sampling at scale, and event streaming pipelines (Event Hubs, Kafka, Kusto/ADX).
• Proven record of mentoring senior engineers and driving cross-team technical initiatives to completion.
• Solid problem-solving skills with a focus on reliability, observability, and system design.

#MicrosoftAI 

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

Do you have a keen interest in leveraging cutting-edge AI technologies to solve complex, real-world challenges? Join the Bing Places Data team, where we build innovative solutions to improve search relevance, enhance user experiences, and enable businesses to thrive.

As a Senior Applied Data Scientist, you will

• use Large Language Models (LLMs), Small Language Models (SLMs), and Retrieval-Augmented Generation (RAG) models to create modern, scalable, and efficient systems.
• collaborate with a dynamic, research-driven team that values curiosity, creativity, and a growth mindset.

In this role, you will design and implement advanced AI solutions, staying at the forefront of the latest research in machine learning and natural language processing. You’ll have the opportunity to accelerate your career by working with industry leaders, refining your expertise in applied sciences, and contributing to impactful, customer-centric projects.

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.

• Develop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data challenges and enhance the Bing Places platform.
• Stay informed about the latest advancements in AI/ML research, evaluate their applicability, and integrate them into scalable systems.
• Collaborate across multidisciplinary teams, including engineers, data scientists, and product managers, to translate research insights into actionable solutions.
• Create robust pipelines for data processing, training, and inferencing to optimize model performance and scalability.
• Mentor junior team members, foster knowledge sharing, and support recruiting efforts to build a world-class research team.
• Uphold ethical principles in AI, ensuring solutions are fair, unbiased, and aligned with Microsoft’s privacy standards.

Required Qualifications:

• 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.

Preferred Qualifications:

• Master’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 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.
• 3+ years of experience in publishing peer-reviewed research or presenting at conferences.
• Proven expertise in developing and deploying AI solutions in production environments.
• Experience working with cloud-based infrastructure and big data technologies.

#MicrosoftAI 

Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 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.

Build the privacy products that make AI monetization trusted, durable, and scalable. On Microsoft’s AI Monetization Privacy & Policy Product Team, you’ll ship software that powers consent, transparency, controls, and privacy-preserving personalization across Ads, Bing, Copilot, Xbox, LinkedIn, and ABK—so teams can move fast and meet the expectations of users, customers, and regulators.

You’ll work where product craft meets real systems: identity, consent state, data flows, ranking/personalization, measurement, experimentation, and platform primitives. The output isn’t paperwork—it’s capabilities that teams adopt because they’re the fastest way to ship safely.

As a Principal Product Manager – Privacy & Policy, you will own and drive major parts of our privacy product roadmap for AI monetization: building platform primitives and end-user experiences that enable compliant, high-performing personalization and measurement. This opportunity will allow you to (1) build deep ads/monetization and AI product intuition, (2) grow solid judgment on trust–revenue tradeoffs, and (3) learn how to scale product impact across multiple orgs through platforms and paved roads.

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.

• Own privacy product surfaces end-to-end (PRD → execution → launch → iteration): consent + sign-in pathways, transparency experiences, user controls, and per-surface data scopes across Microsoft AI monetization endpoints.
• Build and scale platform primitives (“paved roads”) for teams: APIs/SDKs for consent state, identity/data-scoping, enforcement hooks, logging/labeling, aggregation/truncation, and privacy-safe defaults that make compliant implementations the easiest path.
• Partner deeply with engineering to ship runtime guardrails that are practical and measurable (e.g., sensitive-topic constraints, youth safety, AI disclosure/labeling signals, policy enforcement points), tuned for latency, reliability, and abuse resistance.
• Improve personalization quality under privacy constraints: define product strategies that raise relevance/quality while respecting consent, purpose limits, and regional constraints; collaborate on ranking, retrieval, and measurement design.
• Instrument what matters for trust + revenue: define metrics, telemetry, and experiments around consent rates, sign-in conversion, eligible addressable users, opt-out/retention, personalization lift, fill/yield impact, and revenue gaps vs. plan, with clear diagnostics and guardrail monitoring.
• Enable privacy-safe partnerships through software capabilities: support clean-room / API / data-collaboration scenarios by building enforceable product controls (access, usage constraints, verification, auditing) rather than manual process.
• Drive cross-org adoption and execution: align stakeholders across Ads, Bing, Copilot, Xbox, LinkedIn, and ABK; set crisp decision points; unblock tradeoffs; and deliver measurable outcomes on a multi-surface roadmap.

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Experience shipping and iterating ads/monetization, personalization, measurement, identity, or large-scale consumer platform products.
• Demonstrated ability to lead highly technical, cross-functional execution with engineering teams (APIs, telemetry, experimentation, reliability/SLOs).
• Solid track record using data, experiments, and system-level reasoning to drive product decisions and measurable business impact.
• Experience building privacy- or trust-related product capabilities (consent, transparency, controls, governance-by-platform, safety/guardrails).
• Familiarity with privacy and AI governance concepts (e.g., GDPR/UK GDPR, CPRA, DPIAs/TIAs) and how they translate into product and engineering requirements.
• Experience with privacy-preserving approaches such as clean rooms, on-device processing, secure compute, differential privacy, aggregation/cohorting, or enforcement-as-code patterns.
• Proven ability to influence senior stakeholders across multiple orgs and drive platform adoption through solid UX/devex and clear value.

#MicrosoftAI 

Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

Conversational commerce introduces challenges that differ from traditional web shopping. Preferences emerge through dialogue, expectations for accuracy and trust are high, and systems must reason over context and frequently changing commerce data.

Microsoft Copilot is building shopping experiences that are conversational, proactive, and trustworthy. As a Principal Applied Scientist, you will lead the development of machine learning and generative AI systems that power product discovery, ranking, personalization, and reasoning across Copilot shopping surfaces. This role sits at the intersection of applied machine learning, generative AI, and product experience, with clear ownership of core shopping intelligence used directly in user-facing Copilot experiences.

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.  

• Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data.
• Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data.
• Address quality and trust challenges such as hallucination risk, stale data, and recommendation reliability.
• Define evaluation frameworks and experimentation strategies for conversational and proactive shopping scenarios, including offline metrics and online experiments.
• Partner closely with product, engineering, and design teams to translate models into low-latency, reliable Copilot experiences.
• Provide technical leadership for applied science within Copilot Shopping through design reviews, mentoring, and setting quality standards.
• Contribute to model governance and Responsible AI practices to ensure trustworthy and compliant systems.

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.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
• LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

#MicrosoftAI #copilot #shopping

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $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.

The Bing organization is looking for a Senior Data Scientist. The team is pushing the boundaries regarding our understanding for how users engage with AI-powered search engines and then translates the insights into actionable metrics. These metrics then provide direction to the Bing team and help engineers make the right ship decisions for their thousands of online controlled experiments.

Nearly a billion users visit Bing.com worldwide monthly, and we have a large opportunity to grow further, especially with the introduction of AI-based features. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org. 

As a Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping growth of the Bing product. You will have the opportunity to work not only with the Bing product team focused on growth but with many critical partner teams across Microsoft. You will drive impactful data-driven insights to understand impact and develop forecast models inform risk and opportunities to the product and business as early as possible. 

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. 

• Develop highly accurate forecast models powering insights for business and product risks and opportunities.
• Work closely with partners across the product, finance, ads to align on business goals and progress.
• Drive deep understanding and optics around top-level business metrics and levers for growth and risk.
• Drive impact analysis for features critical to agile course correction and business investments.
• Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives. across the product lifecycle against set goals.
• Evangelize your data analysis techniques, visualizations across teams.
• Continuously improve measurement of the key metrics and update the metrics according to new instrumented signals.
• Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 

• Experience building forecast models using Prophet, SARIMA, LSTM.
• Unique balance of technical, analytical, and program management skills to drive actions from data.
• Technical expertise in working with big data, modern data analysis techniques and tools with solid understanding of math/statistics fundamentals (e.g. A/B testing).
• Passion for data and experience in direct application in data driven business.
• Familiarity with search engines, online services and marketing campaigns.
• Knowledge on machine learning for data mining, clustering and predictive analysis.
• A willingness to learn, share, and improve.
• Self-motivated, agile and driven to think out-of-the-box.
• Ability to work independently, influence others, and solid communication and collaboration skills. 

#MicrosoftAI #search #forecast #bing #datascience #metrics #data

Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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 $158,400 – $258,000 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.