The Bing organization is looking for a senior data and applied scientist. The team is pushing the boundaries in areas regarding predictive and forecast models, product analysis and online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences. Translating insights into actionable metrics, we use data to provide direction to the Bing and MAI organization and help business leaders and engineers make the right product and strategic decisions.

Over a billion users use Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive.
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 with the engineering teams focused on growth based on  1000s of controlled A/B experiments. 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 
• 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 
• Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria. 
• Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
• 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 with SQL-like query languages.
• Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
• Ability to work independently, influence others, and solid communication and collaboration skills.  
• Familiarity with search engines, dealing with online instrumentation. 
• Experience with large datasets and interest in consumer online search behaviors. 
• Experience with building machine learning models on large scale data.

#MicrosoftAI #Search #MAI #nextplay

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 $160,200 – $261,000 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.

The Microsoft Content team powers AI-driven experiences for more than 1B users across Copilot, Bing, Edge, Windows, and Xbox. We are seeking a Principal Software Engineer to define and lead the technical direction for the next generation of intelligent, large-scale content platforms.

In this role you will be responsible for shaping multi-year technical strategy, driving architectural coherence across organizations, and building systems that serve as foundational platforms for multiple product surfaces.

You will lead the design and evolution of distributed backend systems, cloud-native infrastructure, and data platforms that operate at global scale with strict requirements for availability, latency, security, and cost efficiency. These systems form the backbone for intelligent user experiences and must be designed for long-term extensibility and operational excellence.

Building on this foundation, you will guide the integration of LLM-powered capabilities into production systems—defining patterns for retrieval, orchestration, evaluation, and responsible AI. You will ensure these capabilities are not isolated features, but deeply embedded, reliable, and scalable parts of the platform.

This role requires exceptional technical judgment, the ability to operate in highly ambiguous spaces, and a track record of influencing across teams and organizations. You will work closely with engineering leaders, product leaders, and applied scientists to align technical investments with long-term business outcomes.

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 Strategy & Architecture Leadership
  • Define and drive long-term technical strategy for large-scale distributed systems and platforms spanning multiple teams and organizations.
  • Establish architectural principles, patterns, and standards that ensure consistency, scalability, and maintainability across services.
  • Lead the design of system-of-systems architectures, integrating services, data, and AI capabilities into cohesive platforms.
  • Make high-impact technical decisions that balance innovation, risk, cost, and long-term sustainability.
• Platform & Systems Ownership
  • Architect and evolve backend services, APIs, data infrastructure, and platform capabilities that operate at global scale.
  • Ensure systems meet stringent requirements for availability, latency, throughput, security, privacy, and cost efficiency.
  • Drive operational excellence through observability, resiliency design, incident management, and continuous improvement.
  • Identify and eliminate systemic inefficiencies across services, infrastructure, and development workflows.
• AI Systems Integration & Evolution
  • Define how LLMs and intelligent systems are integrated into core platform architecture (not as isolated features).
  • Establish patterns for retrieval, grounding, orchestration, memory, and tool use in production systems.
  • Lead the design of evaluation frameworks for quality, safety, latency, reliability, and business impact.
  • Ensure responsible AI practices, including safety, privacy, and governance, are embedded into system design.
• Cross-Org Influence & Execution
  • Influence technical direction across teams, organizations, and partner groups without direct authority.
  • Drive alignment between engineering, product, and applied science on platform strategy and execution.
  • Lead complex, multi-team initiatives from concept through delivery, ensuring clarity, momentum, and results.
  • Represent technical strategy and progress to senior leadership.
• Engineering Excellence & Talent Development
  • Raise the engineering bar across the organization through design reviews, technical mentorship, and standards setting.
  • Act as a role model for deep technical rigor, high-quality execution, and end-to-end ownership.
  • Mentor senior engineers and emerging leaders, helping grow the next generation of technical talent.
  • Foster a culture of innovation, accountability, and continuous improvement.

Required Qualifications:

• Bachelor’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 equivalent experience.

Preferred Qualifications:

• Master’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 Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Proven track record of architecting and delivering large-scale distributed systems or platforms used by millions of users.
• Deep expertise in backend systems, cloud-native architecture, and service-oriented or microservices-based design.
• Experience owning and evolving production systems with high availability, low latency, and solid operational rigor.
• Solid fundamentals in system design, distributed systems, data modeling, and performance optimization.
• Demonstrated ability to drive technical strategy and influence across multiple teams or organizations.
• Experience leading complex, ambiguous, and high-impact technical initiatives end-to-end.

#MAICopilotDiscover #MicrosoftAI #technicalLeadership #MAI #Content #DistributedSystems #LLM #AI #Agent

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600.00 – $296,400.00 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 $220,800.00 – $331,200.00 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.

Our mission is to build Copilot-powered experiences in Bing that help users make confident real-world decisions—where to go, eat, meet, and explore—through high-quality grounded information, generative UX, and proactive, context-aware capabilities.

We are seeking a Software Engineer II to build key features across the Copilot stack, spanning backend services, LLM prompting, and cross-surface UI experiences within Bing. This role offers solid ownership, technical depth, and the opportunity to shape some of the most user-impacting, AI-driven experiences at the intersection of Search, Maps, and Copilot.

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.

• Build secure, scalable, compliant code using AI; review human- and AI-generated code.
• Design, implement, test, and maintain features.
• Create prompts and build evals.
• Use logs, telemetry, and experiments to validate assumptions and drive continuous improvement.
• Use debugging tools and logs to diagnose issues.
• Contribute to architecture discussions and design docs, ensuring performance, reliability, accessibility, privacy compliance.
• Collaborate across teams to identify dependencies, integrate systems.

Required Qualifications:

• 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, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• 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, JavaScript, 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, JavaScript, or Python
  • OR equivalent experience.

#MicrosoftAI 

Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $102,100 – $202,200 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 $133,800 – $219,200 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 Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective on-prem and cloud infrastructure solutions. We are looking for a Senior Software Engineer who will help us maintain and evolve foundational Kubernetes and Azure platform capabilities that enable the Xandr on-prem to Azure migration to complete on time and ensure the resulting platform is stable, secure, and maintainable over the long term. 

As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud and Kubernetes platform best practices, all while staying curious and open to trying new ideas. 

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.

• Leads Infrastructure Design and Architecture: Analyze and understand challenges in on-prem and Azure platform and infrastructure solutions. Develop and build durable solutions for present and future states. Own the technical approach to create and improve architecture. Deeply understand evolving security risk, security research, and security tradeoffs associated with engineering patterns and approaches. 
• Guide cross-functional teams through architectural discussions and decision-making for solution components, including design, compliance, scaling, and cost considerations. 
• Develop and present architecture and design proposals: lead the testing and validation of hypotheses and proposed solutions. 
• Drive AKS enablement and workload onboarding: Support engineering teams transitioning to AKS by driving standardized onboarding tools, pipelines, Terraform modules, runbooks, and migration guides, and providing hands-on guidance. 
• Drive cross-cutting platform initiatives: Partner across teams to enable testing, workload certification, and migration programs and unblock adoption at scale. 
• Author Well-Designed, Scalable, Reliable Code: Author thoughtful, well-designed infrastructure code, including libraries for essential platform functions, proof-of-concept code, and bugs or foundational changes. Effectively share findings from technical investigations. 
• Collaborate with Partner Teams: Collaborate with the broader product engineering and product teams to understand product and platform architecture and develop thoughtful infrastructure improvements. 
• Lead the creation of design documentation: determine appropriate technologies and their interactions. Facilitate and contribute to design discussions, ensuring alignment across teams and incorporating learnings from prior work. 
• Nurture Talent: Mentor other engineers throughout the design and testing process. 
• Embody our culture and values. 

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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of experience designing, building, and operating developer productivity, CI/CD, or release engineering systems, including significant experience with Microsoft Azure (or AWS/GCP with strong Azure proficiency) and Infrastructure as Code such as Terraform or Bicep.
• Strong proficiency in modern CI/CD and release engineering practices, including building, operating, and evolving pipelines using tools such as Azure DevOps Pipelines (strongly preferred), Jenkins, Concourse, GitHub Actions, CircleCI, Spinnaker, or ArgoCD. Experience owning and supporting CI/CD pipelines used by multiple engineering teams, providing shared templates, guardrails, security, and reliability at scale.
• Experience operating large-scale, globally distributed, highly available, 24/7 systems, with a focus on release reliability, security, and operational excellence.
• Proficiency in modern software development practices, including code review, testing, release validation, and operational readiness, using languages such as Go, Python, or TypeScript.
• Demonstrated ability to drive architectural direction across teams, influence technical decisions around build and release systems, and translate ambiguous requirements into scalable, durable release platforms.
• Excellent written and verbal communication skills, including the ability to explain complex release, reliability, and automation concepts to diverse audiences.
• Hands-on experience designing and maintaining shared infrastructure and tooling ecosystems, such as reusable Terraform modules, pipeline templates, and onboarding toolchains that improve developer velocity, experience, consistency, and security across teams.

#MicrosoftAI

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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 Content team powers AI-driven experiences for more than 1B users across Copilot, Bing, Edge, Windows, and Xbox. We are seeking a Principal Applied Scientist to define and develop the next generation of intelligent, large-scale content platforms.

In this role you will be responsible for modeling, experimentation, product impact, and technical leadership. The ideal candidate will have deep expertise in large language models, information retrieval, ranking, grounding, search systems, and agentic AI. They will work on improving how AI systems retrieve information, reason over context, maintain multi-turn conversations, use tools, rank candidate responses or actions, and produce reliable outputs grounded in trusted data. A hands-on experience tuning and improving models at scale, including techniques such as supervised fine-tuning, preference optimization, model distillation, data curation, evaluation design, and large-scale experimentation will be needed. The individual will be expected to lead complex scientific workstreams, influence product direction, and partner closely with engineering, research, and product teams.

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 applied science for grounding, search, retrieval, and ranking systems that power Microsoft AI and agent experiences across large-scale content surfaces.
• Develop and improve ranking and reranking models for search results, retrieved passages, source selection, answer candidates, tool choices, and agent actions.
• Build grounding systems that help AI agents generate reliable, source-backed answers using trusted documents, web content, enterprise data, tool outputs, and user context.
• Improve end-to-end search and retrieval quality, including query understanding, semantic and hybrid retrieval, freshness, relevance, source quality, personalization, and latency-aware ranking.
• Advance multi-turn agent experiences by improving context understanding, tool use, task completion, clarification behavior, planning, and recovery from errors.
• Tune and optimize models for grounded and agentic behavior using methods such as supervised fine-tuning, preference optimization, reward modeling, distillation, synthetic data generation, and scalable experimentation.
• Define and own evaluation methods and success metrics for ranking quality, retrieval quality, groundedness, factuality, citation correctness, hallucination reduction, task success, user satisfaction, latency, and cost.
• Partner with engineering, product, research, and design teams to ship science improvements into production, influence architecture, mentor scientists and engineers, and drive high-impact initiatives from ambiguity to measurable product impact.

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.
• 10+  industry experience building, evaluating, and deploying machine learning models or AI systems in production.
• Deep expertise in at least two of the following areas: search, information retrieval, learning-to-rank, recommendation systems, grounded generation, LLM-based ranking, retrieval-augmented generation, conversational AI, or agentic AI systems.
• Experience with offline and online evaluation, including relevance metrics, A/B experimentation, human evaluation, model diagnostics, and production quality monitoring.
• Experience working with large-scale datasets, production ML pipelines, distributed training or inference systems, and cross-functional engineering teams.
• Demonstrated ability to lead ambiguous technical projects as a senior individual contributor and influence product, engineering, and science direction.
• Communication skills, with the ability to explain scientific tradeoffs clearly to technical and non-technical stakeholders.
• Experience with production-scale LLM systems, agent frameworks, search engines, ranking systems, or retrieval-augmented generation systems.
• Experience improving multi-turn AI assistant or agent experiences in real products.
• Experience with tool-using agents, planning systems, memory, personalization, source ranking, or enterprise search.
• Experience building evaluation frameworks for factuality, grounding, hallucination, relevance, safety, and task completion.
• Experience with large-scale experimentation platforms, A/B testing, human evaluation, and model quality monitoring.
• Experience collaborating with product teams to translate model improvements into measurable customer impact.
• Experience with publication record, patents, open-source contributions, or demonstrated technical leadership in applied AI, IR, NLP, or ML systems.

#MicrosoftAI 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 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 $188,000.00 – $304,200.00 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 seek an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants.  Microsoft AI unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features. 

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.

• Building and owning production machine learning models to improve results. 
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact. 
• Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization. 
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them. 
• Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL. 
• Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions. 

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.

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:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 2+ years of proficient experience with C#/C++/Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms. 
• Passionate and have experience in data analytics, applied machine learning, deep learning and/or related fields. 

#MicrosoftAI #GenAI #LLM #MAI

Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $102,100.00 – $202,200.00 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 $133,800.00 – $219,200.00 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.

Core Search and AI team (Bing) is looking for people who want to build the next generation of search using advanced AI technologies, especially large language models, at scale. We are responsible for the largest machine learning models at Microsoft by volume and take pride in being the first in the world to solve many practical AI at Scale challenges. Our work spans a very large scope of scenarios to deliver high quality search results by document/answers summarization for representation and ranking, query and document understanding, and AI search grounding.

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, train, and improve large-scale machine learning models for Bing Search relevance and ranking, with a focus on transformer-based and LLM-powered approaches.
• Own end-to-end model development, including problem formulation, feature design, training, offline evaluation, and online A/B experimentation.
• Develop and optimize multi-stage ranking stacks (recall, coarse ranking, fine ranking) to deliver high-quality, low-latency search results at global scale.
• Leverage LLMs for query and document understanding, summarization, representation learning, and grounding to enhance ranking quality.
• Address cold-start and sparse-data challenges through content understanding, pre-training, and representation sharing.

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.

Additional or preferred qualifications :

#MicrosoftAI 

Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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.

Ad SDK team builds advanced software development kits that enable seamless integration of advertising solutions into partner applications and platforms, both Microsoft and non-Microsoft. Our goal is to create fast, secure, and developer-friendly SDKs that help partners monetize their products at scale. We tackle tough technical challenges to ensure our solutions run smoothly across different environments, all while pushing the boundaries of ad-serving technology.

As a Senior Software Engineer, you’ll be hands-on in designing and optimizing SDK components, especially for browsers using JavaScript and TypeScript. You should have a solid understanding of how browsers work under the hood, including rendering pipelines and performance tuning. You’ll collaborate with teams around the world to build cross-platform solutions that reach millions of users. Expect to work on innovative features, improve the developer experience, and ensure everything meets high standards for security and privacy.

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 requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup’s project plans, release plans, and work items.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

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.

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:

• 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Solid understanding of **browser internals**, rendering pipelines, and performance optimization techniques.
• Proven experience building SDKs or developer tools for large-scale platforms.
• Experience building SDKs or developer tools for large-scale platforms.
• Familiarity with ad-serving technologies and integration patterns.
• Solid understanding of security, compliance, and performance best practices in browser-based environments.

#MicrosoftAI #JavaScript #TypeScript #FrontEnd #SDKDevelopment #SeniorSoftwareEngineer #MicrosoftCareers #AdTech #AdSDK #EngineeringJobs

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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.

Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the bidding platform that powers real-time ad auctions across Microsoft’s marketplaces – leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.

Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.

We’re looking for a Principal Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic bidding platform – one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.

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.

• Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.
• Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.
• Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.
• Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.
• Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.
• Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.
• Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.
• Explore and invest in emerging AI techniques – multi-agent systems, adaptive optimization – to enhance the autonomy, intelligence, and impact of the bidding platform.

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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
  • OR equivalent experience.
• 4+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink.
• 4+ years of experience as a technical lead, including mentoring and guiding engineers.
• 7+ years of experience developing and deploying large-scale distributed systems in production environments.
• 7+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management.
• Domain knowledge and experience building large scale distributed bidding or auction platforms.
• Experience building real world applications using AI techniques.

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.

#MicrosoftAI 

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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 Multimedia team powers image and video search across Bing and other Microsoft products. In our team, you’ll help deliver world-class experiences for both query-driven and exploratory browse scenarios—enabling users to discover, understand, and act on visual information.

Our experiences are powered by state-of-the-art ML models and highly scalable infrastructure built for global reach and measurable impact. As search has evolved from text to voice and increasingly multimodal interactions, deep understanding of visual content—objects, concepts, and entities in images and videos—has become central to building rich, insightful experiences that help users complete real tasks.

As a Senior Software Engineer in the team, you will own the offline infrastructure enabling these capabilities end-to-end. You will work with a mix of open-source and Microsoft-built frameworks, solving hard problems where latency, cost, availability, and quality are first-class engineering metrics.

We are also AI-native: we actively adopt modern, AI-assisted engineering practices to improve development velocity and quality—leveraging tools and workflows that help us design, build, test, and operate services more effectively while maintaining solid engineering fundamentals.

We are committed to fostering a diverse and inclusive environment, and we encourage applications from qualified candidates of all backgrounds.

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, build, and evolve large-scale platforms for processing and storing billions of documents, with availability, latency, cost efficiency, and quality treated as first-class engineering goals.
• Apply a metrics-driven engineering mindset when designing and shipping features—defining success criteria upfront and using data to drive prioritization, iteration, and measurable impact.
• Partner with and empower scientists and engineers working across big data, computer vision, and machine learning, enabling rapid progress in a fast‑evolving technical landscape.
• Build and operate services that support large-scale experimentation and research, enabling fast iteration and learning while ensuring efficient utilization of compute, storage, and other shared resources.
• Continuously evaluate and adopt emerging technologies, including hardware acceleration and modern search and AI techniques, to improve system efficiency and elevate the end-to-end search experience.
• Embrace AI-native and AI-assisted engineering practices to improve developer productivity, code quality, and operational excellence—while maintaining solid fundamentals in reliability, security, and correctness.

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.

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:

• 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Hands-on experience designing, building, or operating distributed systems, with an emphasis on performance, reliability, availability, and scalability.
• Experience applying established software design patterns and engineering best practices in large, evolving codebases.
• Familiarity with large-scale data processing and streaming technologies (for example: Hadoop, Spark, Kafka, or similar systems).
• Solid problem‑solving and critical‑thinking skills, with the ability to reason about complex systems and tradeoffs.
• Effective communication skills and a demonstrated ability to collaborate across engineering, research, and partner teams.
• A growth mindset and passion for delivering high‑quality user experiences, continuously learning and adapting as technologies evolve.
• Experience driving engineering excellence at scale, balancing speed and innovation with quality, reliability, and operational rigor.
• Interest in or experience with AI‑assisted and AI‑native engineering practices to improve developer productivity and software quality.

#MicrosoftAI 

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.