Required:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, 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 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
  • OR equivalent experience.
• 2+ years of hands-on software design and coding experience.
• 2+ years of strong background in software development and system design.
• 2+ years of strong problem-solving design, implementation, and communication skills.
• Experience in AI/ML frameworks such as PyTorch or TensorFlow and practical experience applying Data Science techniques.
• Experience in big data systems such as Spark/PySpark or Stream Processing Systems.
• Experience with cloud services. 
• Ability to debug complex issues across client and server layers.
• Proven skills in software system design and architecture.

#MicrosoftAI

#Search

Software Engineering 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 is pioneering the future of what AI can do and what technology can be. We are a global organization that includes AI research, Copilot, Responsible AI, Privacy and Security, Microsoft Health, Bing Search, Edge Browser, MSN, Shopping, and Microsoft Advertising (MSA). Our mission is to inform, support and empower our consumers with responsible AI. As the monetization arm of Microsoft AI, Microsoft Advertising’s (MSA) vision is to be the best go-to platform to reach people from work to play, with personalized advertising that they love. Our vision in the Small & Midsized Business (SMB) segment is to empower every SMB marketer on the planet to do more.  We are seeking an accomplished Sales Leader with deep digital advertising expertise and practical experience of leading high-scale Sales & Marketing programs to help realize that vision. 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. 

As Senior Director, SMB Sales, you will lead the strategy, execution, and performance of Microsoft Advertising’s SMB business in the United States—one of our fastest-growing and most dynamic segments. This role places you at the center of an ambitious transformation as we design and scale the sales and lifecycle programs that will unlock our next wave of growth. You will define the US SMB go-to-market strategy, drive customer success and revenue delivery across both FTE and Delivery Partner sales motions, and ensure our teams execute with clarity, discipline, and impact. In this highly cross-functional role you will influence cross-functional experts across Microsoft Advertising and Microsoft AI (MAI) to evolve our offerings and bring the full value of Microsoft to millions of US small and midsized businesses. As a senior representative of Microsoft Advertising to the SMB ecosystem, you will engage via high‑reach platforms and industry channels to connect with thousands of SMBs and independent agencies—championing their success and framing Microsoft’s leadership in the next era of AI-powered digital advertising. 

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 revenue delivery and customer success for Microsoft Advertising’s SMB business in the United States, consistently surpassing quota and driving durable, highquality growth. 
• Set the strategic direction for US SMB by proactively identifying emerging market opportunities and trends and developing and executing effective territory and market plans; orchestrate crossfunctional alignment and enforce operational accountability with internal teams and delivery partners. 
• Design and scale impactful US sales plays and contribute to global sales play development; ensure rapid adoption and measurable business impact across all seller and partner motions. Scale US incubated programs to global markets. Partner closely with SMB Sales counterparts in International markets and Corporate Sales Management to share best practices and maximize short-term segment performance. 
• Lead US planning and investment strategy, bringing datadriven recommendations, market insight, and best practices to inform headcount, partner footprint, and growth opportunities.  
• Steward of the Business; Lead the US SMB rhythm of business, ensuring worldclass sales rigor, disciplined pipeline management and operational excellence; ensure every decision and customer engagement complies with Microsoft’s values, culture, and Trust code.  
• Serve as the senior SMB Sales Leader for the US territory, accountable for setting and reinforcing performance expectations, assessing the effectiveness of sales mechanics and approaches, and providing clear, vocal feedback to influence execution quality across Agency and Direct Advertiser sales motions. While the role includes evaluating Delivery Partner capabilities, the Sales Leader collaborates closely with Enablement and Learning & Development partners—leveraging their expertise and deferring to them on programmatic changes or skillbuilding recommendations. 
• Build and maintain influential relationships with top SMB clients, independent agencies, and industry associations; lead scaled customer engagement through highreach 1P/3P events, webinars, social media and thought leadership moments.reach 1P/3P events, webinars, social media and thought leadership moments. 
• Own critical escalations, drive customer satisfaction and retention, and develop activation and recovery plans that safeguard revenue and deepen relationships. 
• Influence digital marketing and Agentic AI experiences, partnering with cross-functional teams to create compelling, personalized customer journeys and digital-first experiences for US customers. 
• Champion the voice of the SMB customer and agency ecosystem, synthesizing regional insights to influence Microsoft Advertising and Microsoft AI Product teams on roadmap priorities, platform improvements, and GTM strategy. 
• Accelerate demand generation by supporting comarketing initiatives and integration partnerships that drive highvolume lead generation, acquisition, and funnel growth for Microsoft Advertising. Develop a close partnership with global SMB Acquisition and Lifecycle Marketing partners to maximize US market acquisition outcomes.   

Required Qualifications:

• Bachelor’s Degree in Business Administration, Sales, Marketing, Economics, Engineering, or related field AND 8+ years relevant Sales or Marketing experience with Information Technology products and/or services OR equivalent experience. 

Preferred Qualifications:

• Bachelor’s Degree in Business Administration, Sales, Marketing, Economics, Engineering or related field AND 10+ years relevant Sales or Marketing experience with Information Technology products and/or services
  • OR equivalent experience.
• 10+ years relevant digital advertising sales experience.
• 4+ years working in a large, global matrix.
• 3+ years of experience in strategy and execution of SMB scaled marketing and sales plays. 

#MicrosoftAI #MicrosoftAdvertising

SMB Sales IC5 – The typical base pay range for this role across the U.S. is USD $133,000 – $222,700 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 $170,300 – $239,800 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.

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.

Microsoft Advertising is at the forefront of the digital advertising industry, providing top advertisers worldwide with the tools to grow their reach through various online marketing, display, video, and retail solutions. We are looking for an Analytical Lead who is driven by data and its potential to influence business strategies and produce tangible results.

As an Analytical Lead, you will generate insights and recommendations that directly benefit our clients, enhancing their business performance and opening up new investment avenues on our Microsoft Advertising platform. Your role involves synthesizing industry knowledge, digital marketing expertise, and advanced analytical methods to craft compelling data stories that sway decision-makers using visualizations and narrative techniques. You should possess solid analytical, problem-solving, and consulting abilities, along with a proactive, challenging mindset and excellent partnership management skills.

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.

• Application of Data: Leverages appropriate sources of data, determines optimal statistical methods for integrating data, and identifies and addresses gaps and/or quality issues in data, in partnership with both internal and client teams.
• Data Analysis: Determines appropriate analytical techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others’ analyses and forecasting. Critically evaluates the choice of tools, techniques, and assumptions to ensure they are appropriate within context and provides feedback on features and functions.
• Improvement, Efficiency, and Innovation: Stays abreast of data privacy and governance rules and regulations and is aware of where to seek further expertise on such rules and regulations when needed. Determines the impact of updated guidance on work activities and results and ensures work products are delivered in alignment with principles and controls.
• Orchestration and Collaboration: Works within and across internal and client teams to deepen expertise in data sources, methodologies, models, analytical tools and processes, and business and client needs by industry vertical to deliver results. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults with client teams on decisions related to analyses and their interpretations.
• Presentation of Results: Develops elements of internal and client-facing presentations that tell stories of analyses, reports, data visualizations, self-service platforms, key performance metrics, and talking points. Evaluates presentations and makes recommendations for improvements as appropriate. Seeks to build trust with clients and ensures presentations are accessible, provide information accurately and clearly, and appropriately speak to the needs of the senior-level stakeholders both internally and externally.
• Understanding Client’s Business: Develops a depth of understanding of clients’ businesses across industry verticals, taking relevant industry trends, clients’ value proposition, and the competitive landscape into consideration to anticipate clients’ business problems and identify business opportunities for Microsoft Advertising. Probes for insight to understand problems beyond stated concerns, begins to connect themes across work activities, and anticipates potential business questions.

Required Qualifications:

• 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • OR equivalent experience.
• 2+ years experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
• Dynamic and creative critical thinking skills, with an ability to think outside of the box.
• Solid ability to communicate complex analyses to a mix of both technical and non-technical partners and clients.
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
• Comfort and enjoyment with working in ambiguous environments.
• Solid communication skills to work with partners in various areas of Microsoft Advertising.
• Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
• Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
• Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
• Working knowledge of statistics, predictive modeling and data clustering/classification techniques.
• Infectious sense of enthusiasm, fun, and imagination to contribute to high-performing team culture.
• Comfort working in an agile and constantly evolving environment while thriving amid ambiguity.
• Ability to travel 25% – 35% (air travel may be required), as appropriate.

Preferred Qualifications:

• 4+ years experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field
  • OR equivalent experience.
• 4+ years experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets.
• 4+ years in a partner or account management/client service/client-facing role.
• Experience in digital media, data analysis, measurement, and data management.
• Experience in the Technology and Telecommunications industry.

#MicrosoftAI #microsoftadvertising

Advertising Insights IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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.

We are building large scale, Azure-based intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders. The system integrates advanced machine learning models with emerging agentic capabilities powered by large language models (LLMs) to model recommendations, automate analysis, generate contextual summaries, and streamline workflows across organizational tools. As a Principal Applied Scientist, you will define scientific vision and lead the development of both ML and LLM components. This includes designing robust models, driving experimentation, ensuring statistical rigor, and guiding the platform’s evolution toward greater automation, accuracy, and scalability. You will partner closely with engineering and product teams to translate research into reliable production systems, influence long-term strategy, and deliver intelligence that enables smarter, faster, and more informed decisions.

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.

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.  

• Define and drive the modeling strategy for the advertising recommendations platform, spanning classical machine learning (for analytics on structured data) and the use of generative AI. You will set the direction on which problems to tackle with ML (e.g. predictive modeling, anomaly detection, clustering) and how to leverage LLMs to maximize user understanding and value. 
   
• Architect end-to-end machine learning pipelines – oversee the design of data processing workflows, feature stores, model training/validation routines, and deployment mechanisms that can reliably produce daily insights for all customers. Ensure these pipelines are scalable, efficient, and maintainable, working closely with data engineering leaders on implementation. 
   
• Lead the incorporation of LLM-based components for the platform’s intelligent narrative generation. This includes guiding the development of prompt frameworks, fine-tuning strategies, and retrieval-augmented techniques so that the system can answer complex sales questions and explain insights in conversational language. 
   
• Oversee cross-team initiatives and collaboration, coordinating with engineering, program management, and stakeholder teams. You will chair technical design reviews, balance priorities, and guarantee that the data science efforts align with product requirements and timelines. 
   
• Mentor and develop the applied science team, providing technical guidance to other scientists and engineers. Champion best practices in experimentation, coding, and MLOps, and foster a culture of scientific excellence and continuous learning. 
   
• Ensure robust evaluation and governance of all AI/ML solutions. You will establish metrics for success (accuracy, precision of alerts, coverage of insights), closely monitor model performance in production, and implement processes for periodic retraining, validation, and Responsible AI compliance (addressing bias, fairness, and transparency). 
   
• Stay ahead of the curve by tracking emerging trends in AI, whether it’s new algorithms in anomaly detection or breakthroughs in large language models, and assess their potential to enhance the platform. Drive the incubation of innovative ideas, experimentally verify their benefits, and incorporate promising approaches to keep the platform technologically ahead and highly effective. 

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:

• 5+ years of experience with developing and deploying machine learning solutions in production, with proven ownership of complex projects end-to-end (from problem formulation and data acquisition to model deployment and monitoring). 
• 3+ years of technical leadership experience in an applied science or data science team setting – this could include leading a team of scientists or acting as the key technical decision-maker on cross-discipline projects, with responsibility for delivering major features or systems. 
• Extensive hands-on expertise in ML techniques for predictive analytics, pattern recognition, and optimization. You should be comfortable selecting and tuning algorithms for regression, classification, clustering, time-series forecasting, etc., and understand their trade-offs. 
• Strategic thinking and excellent communication abilities – capable of translating high-level business objectives into technical plans and articulating complex AI concepts and project updates to senior leadership and non-technical stakeholders.
• Proficiency in programming and data infrastructure – solid coding skills in a programming language commonly used in ML (Python, etc.), experience with machine learning frameworks (e.g. PyTorch, Tensorflow), and familiarity with data pipelines and databases. 
• Experience with natural language processing and LLMs – a deep understanding of how large language models can be applied, and practical experience either using pre-trained LLM APIs or training/fine-tuning NLP models for tasks such as summarization, question-answering, or conversational interfaces. 
• Practical exposure applying LLMs to domain heavy contexts such as medical/health, farming/agriculture, social sciences, or related settings (e.g., domain adaptation, terminology grounding, retrieval augmented patterns) while adhering to privacy and Responsible AI expectations. 
• Solid background in big data and cloud technologies – experience with Azure or similar cloud platforms for big data (Azure Synapse, Data Lake, etc.) and ML ops (Azure ML, MLflow), including building pipelines that handle streaming or real-time data for immediate insights. 
• Proven track record of innovation and impact – for example, contributions to significant AI products or platforms, authorship of influential research publications or patents, or recognized leadership in the data science community. 
• High proficiency in MLOps and AI governance – experience setting up automated training, implementing continuous monitoring and alerting for model performance, and ensuring models meet security, compliance, and ethical standards. 
• Excellent cross-organizational leadership – ability to influence and drive alignment among teams with different priorities (engineering, sales, marketing, etc.), and to build consensus for ambitious technical initiatives that span multiple orgs or disciplines. 

#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.

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 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

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.

Copilot Discover helps hundreds of millions of people be informed, entertained, and inspired by surfacing highly relevant, trustworthy, and delightful content across Microsoft surfaces. We’re building the next generation of AI‑powered quality understanding and recommendation systems—spanning text, images, audio, and video—to curate the right content at the right moment while upholding safety and integrity.

As a Principal Applied Scientist, you’ll lead the science behind Discover’s ranking and content‑quality stack, combining LLMs, multimodal models, and large‑scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high‑caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end‑to‑end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.

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 content‑quality understanding at scale. Design and deploy models that assess credibility, usefulness, freshness, safety, and diversity across modalities; reduce misinformation/toxicity error rates through prompt‑ and model‑level innovations; build human‑in‑the‑loop and active‑learning pipelines that get better over time.
• Advance the recommendation & ranking stack. Architect and productionize large‑scale DNN/LLM‑enhanced recommenders (representation learning, sequence modeling, retrieval/ranking, slate optimization), balancing user satisfaction, content quality, and business goals.
• Own evaluation and experimentation. Define offline metrics (e.g., NDCG, ERR, calibration) and online methodologies (A/B tests, interleaving, counterfactual & bandit approaches) to confidently attribute impact and guard against regressions.
• Champion safety & trust. Partner with policy and platform teams to encode safety standards and editorial principles into the ML system; create red‑teaming, adversarial, and safeguard layers for generative and curated experiences.
• Scale E2E ML systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of Discover’s AI platform.
• Mentor & influence. Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge‑sharing; uplevel peers through design reviews, deep‑dives, and principled decision‑
• Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.

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 Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g. machine learning, deep learning or similar technologies)
  • 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.
• Have publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).
• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval‑augmented recommendation; familiarity with counterfactual learning and multi‑objective optimization.
• Experience building content integrity/safety systems (e.g., misinformation, harmful content, low‑quality/duplicate detection) and quality‑aware ranking.
• Demonstrated ability to lead cross‑disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.
• Familiarity with Microsoft stack (e.g., Azure ML, Kusto, Synapse, Azure AI Foundry).
• 2+ years of experience working with  recommender systems/ranking or content‑quality/safety models at consumer scale, with clear business impact.
• 2+ years of experience in Python and at least one major deep learning framework (PyTorch/TensorFlow) with large‑scale data processing and training/inference on distributed systems.
• 2+ years of evaluation & experimentation (offline metrics, A/B testing, bandits) and ML model development lifecycle.

   #MicrosoftAI #mai #recsys #copilot #hiring

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.

Are you looking for an opportunity to impact millions of users every day? Are you excited that your code runs on billions of devices and that your contribution helps shape the future of agentic commerce across Microsoft surfaces?

The MAI Payments team builds next‑generation payment, checkout, and agentic‑commerce infrastructure that powers Copilot, Edge, Bing, and MSN. We deliver secure, privacy‑preserving, and compliant payment and merchant‑integration systems that enable users, creators, merchants, and partners to unlock the full value of digital assets.

As a Senior Software Engineer, you will design and implement client applications, cloud services, SDKs, and distributed systems that operate at global scale. You will work closely with product, design, and engineering partners to build reliable, high‑quality commerce platforms while maintaining solid engineering, security, and operational standards.

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.

• Collaborates with appropriate stakeholders to determine user and system requirements for XPay scenarios.
• Drives identification of dependencies and the development of design documents for services, applications, and platforms.
• Designs, implements, debugs, refactors, and optimizes backend services, APIs, and distributed systems to improve performance, reliability, and maintainability.
• Develops high‑quality, extensible code used across large‑scale microservices and payment systems.
• Acts as a Designated Responsible Individual (DRI) and participates in on‑call rotations to monitor services, respond to incidents, and restore service health for simple and complex issues.
• Proactively seeks new knowledge and applies modern engineering practices to improve availability, reliability, efficiency, observability, and operational consistency at scale.
• Plays a key role in shaping software architecture by making sound tradeoffs informed by both technical and business considerations.
• Collaborates with engineers across teams to surface common pain points, develop solutions, and evangelize best practices.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master’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 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.
• Experience building and operating large‑scale distributed systems and microservices in a cloud environment (Azure preferred).
• Solid backend engineering experience, including API design, service‑to‑service communication, and data consistency patterns.
• Full‑stack development experience with modern frontend on Web & Mobile such as JavaScript/TypeScript, React and iOS/Android.
• Experience with payment systems, checkout flows, wallets, or commerce platforms.
• Experience driving technical initiatives that span multiple teams or organizations.
• Data‑driven mindset with solid analytical, communication, and collaboration skills.

#MicrosoftAI #Fullstack #AI #Commerce #AgenticCommerce #XPay #MAI

Software Engineering 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.

Are you looking for an opportunity to impact millions of users every day? Are you excited that your code runs on billions of devices and that your contribution helps shape the future of agentic commerce across Microsoft surfaces?

The MAI Payments team builds next‑generation payment, checkout, and agentic‑commerce infrastructure that powers Copilot, Edge, Bing, and MSN. We deliver secure, privacy‑preserving, and compliant payment and merchant‑integration systems that enable users, creators, merchants, and partners to unlock the full value of digital assets.

As a Senior Software Engineer, you will design and implement client applications, cloud services, SDKs, and distributed systems that operate at global scale. You will work closely with product, design, and engineering partners to build reliable, high‑quality commerce platforms while maintaining solid engineering, security, and operational standards.

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.

• Collaborates with appropriate stakeholders to determine user and system requirements for XPay scenarios.
• Drives identification of dependencies and the development of design documents for services, applications, and platforms.
• Designs, implements, debugs, refactors, and optimizes backend services, APIs, and distributed systems to improve performance, reliability, and maintainability.
• Develops high‑quality, extensible code used across large‑scale microservices and payment systems.
• Acts as a Designated Responsible Individual (DRI) and participates in on‑call rotations to monitor services, respond to incidents, and restore service health for simple and complex issues.
• Proactively seeks new knowledge and applies modern engineering practices to improve availability, reliability, efficiency, observability, and operational consistency at scale.
• Plays a key role in shaping software architecture by making sound tradeoffs informed by both technical and business considerations.
• Collaborates with engineers across teams to surface common pain points, develop solutions, and evangelize best practices.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master’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 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.
• Experience building and operating large‑scale distributed systems and microservices in a cloud environment (Azure preferred).
• Solid backend engineering experience, including API design, service‑to‑service communication, and data consistency patterns.
• Full‑stack development experience with modern frontend on Web & Mobile such as JavaScript/TypeScript, React and iOS/Android.
• Experience with payment systems, checkout flows, wallets, or commerce platforms.
• Experience driving technical initiatives that span multiple teams or organizations.
• Data‑driven mindset with solid analytical, communication, and collaboration skills.

#MicrosoftAI #Fullstack #AI #Commerce #AgenticCommerce #XPay #MAI

Software Engineering 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.

You’ll join the asset generation team in Microsoft AI focusing on image and video retrieval, recommendation and generation. You will build core generative AI solutions that power customer-facing AI solutions and services for Microsoft Advertising at Bing platforms. In this role, you’ll combine solid computer vision skills with applied ML expertise to design, prototype, evaluate and ship production systems—using techniques like knowledge distillation, prompt engineering, reinforcement learning, image/video processing and rigorous evaluation/metrics to continuously improve image and video asset qualities. You’ll partner closely across product, research, and service engineering to deliver the innovative and robust solutions for enterprise 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.  

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.

• Research, develop, and build effective and innovative production-grade generative AI and classical computer vision systems, with end-to-end ownership from concept through deployment and service operations. 
• Lead technical design for core GenAI capabilities on image and video assets (e.g., image and video generation, super-resolution and summarization) and make data-driven tradeoffs across quality, latency, cost, and safety. 
• Define and improve model and system quality using evaluation frameworks, experiment design, and metric evaluation; ensure robust testing and regression coverage. 
• Collaborate with the partner teams to build solutions that meet enterprise requirements and align with customer needs and make business impact. 

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.
• Demonstrated solid modelling skills in training and inferencing on online and offline computer vision models and related performance optimization for latency and artifact. 
• Experience with prompt engineering, knowledge distillation and post-training. 
• Experience building and shipping generative AI systems (including image and video systems). 
• Familiarity with compliance and security standards in enterprise AI solutions. 
• Track record of delivering enterprise-facing AI products at scale. 
• Experience building and operating ML/AI systems in cloud environments; familiarity with MLOps practices (Azure a plus). 
• Experience in publishing papers in top-tier computer vision and machine learning conferences such as CVPR, ICML, ICCV, Neurips and ICLR.

#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.