The Content Services Verticals team is seeking a Senior Software Engineer to drive the development of next-generation systems for Microsoft Start. This role offers the opportunity to collaborate across teams within Start, as well as with Edge, Windows, Xbox, Bing, and other divisions, to build scalable and high-performance backend services that power user-facing experiences. In addition to distributed backend engineering, this role emphasizes expertise in building applications using large language models (LLMs), designing evaluation frameworks, and advancing prompt engineering to create intelligent, adaptive, and reliable user experiences.

As a Senior Engineer, you will design, implement, and optimize services, APIs, and infrastructure to support the evolving needs of our platform. You’ll work closely with cross-functional teams—including product managers, applied scientists, and frontend developers—to ensure seamless integration and exceptional performance. From system architecture and data modeling to LLM-powered service design, eval writing, and deployment automation, you will play a key role in shaping the technical roadmap. This role requires a highly proactive mindset: taking initiative, working in agile environments, and driving innovation end-to-end to deliver scalable, maintainable, and forward-looking solutions.

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.

• Ship high-quality, well-tested, secure, and maintainable code.
• Develop and maintain robust, scalable, and efficient full-stack applications.
• Collaborate closely with cross-functional teams, including product owners, designers, and other engineers, to understand and address business requirements effectively.
• Participate in code reviews, providing constructive feedback and ensuring code quality and adherence to coding standards.
• Contribute ideas for continuous improvement of the tech stack, tools, and development processes.
• Ensure seamless integration of front-end and back-end components, focusing on optimal performance and user satisfaction.
• Work within a world-class engineering team comprising engineers, architects, scientists, and leadership.
• Contribute to a positive and innovative team culture.
• Work closely with the leadership and product owner to help address business needs while maintaining engineering standards and paying down technical debt.
• Experiment with and recommend new technologies that simplify or improve our stack.
• Build and integrate applications leveraging LLMs, with a solid focus on quality, performance, and reliability.
• Develop and maintain evals and evaluation frameworks to measure model performance and ensure high-quality outputs.
• Apply prompt engineering techniques to refine and optimize LLM-driven user experiences.

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 experience with designing, building, and maintaining complex backend systems
• 4+ years experience in developing and optimizing RESTful APIs and microservices. Proven ability to create and maintain efficient, reliable backend services.

#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.

Our team (Signals Modeling) builds the core intelligence that understands and predicts how users interact with ads – from the first impression through clicks, post-click engagement, and downstream business outcomes. 

We design and train transformer-based models with billions of parameters that power ad ranking, pricing, and optimization across large-scale consumer surfaces. These models go well beyond simple click prediction: they reason over long user histories, rich ad and content representations, and heterogeneous event streams to infer user intent and advertiser value, even when ground truth signals are sparse or partially unobservable.

The team owns end-to-end ML systems, including large-scale data and label construction, representation learning, multi-task and proxy objectives, calibration, and rigorous offline and online evaluation. We build sophisticated training pipelines that transform weak signals (e.g., page visits, dwell time, or engagement events) into high-quality learning targets, and deploy models that remain robust under delayed conversions and shifting marketplace dynamics.

Engineers and scientists on the team work at the intersection of deep learning, large-scale experimentation, and marketplace economics, shipping production-grade models and data pipelines that directly drive revenue and advertiser ROI. This is a hands-on role with real ownership: you’ll help shape next-generation transformer architectures, push the limits of scalable training and serving, and see your models make measurable impact in one of the world’s largest ads ecosystems.

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.

• Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Focus on building estimated conversion models, designing data-driven attribution and weak-label generation pipelines, and developing robust learning and calibration methods for scenarios where true user outcomes are sparse, delayed, or unobservable.
• Design and evaluate multi-task and proxy-signal models, improve offline and online measurement frameworks, and translate modeling advances into production-ready systems that directly impact ad ranking, bidding, advertiser ROI, and user experience at web scale.

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 experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    3+ years experience conducting research as part of a research program (in academic or industry settings).
    1+ year(s) experience developing and deploying live production systems, as part of a product team.
    1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience working with noisy, weak, or proxy labels, including building training signals from indirect user behavior.
• Experience with conversion, outcome, or funnel modeling (e.g., post-click modeling, engagement modeling, attribution, or similar problems).
• Familiarity with model calibration, reliability analysis, or uncertainty estimation in production systems.
• Background in causal inference, attribution, or counterfactual evaluation.
• Experience with large-scale online marketplaces or ads/recommendation systems.
• Experience designing or operating multi-task / auxiliary-task learning systems.
• Proven technical leadership in cross-team modeling efforts or platform-level ML systems.
• 4+ years of industry experience building and shipping machine learning models in production.
• Solid hands-on experience with modern ML models (e.g., deep learning, tree-based models, or linear models) and feature engineering.
• Solid understanding of supervised learning and multi-task learning.
• Practical experience working with large-scale, real-world data and building end-to-end modeling pipelines (data preparation, training, validation, deployment).
• Experience with offline evaluation and online A/B experimentation for ML systems.
• Solid programming skills in Python and at least one major ML framework (e.g., PyTorch or TensorFlow).
• Ability to independently drive modeling projects from problem definition through production and iteration.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#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.

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 – $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.

We’re building a first-of-its-kind Content Marketplace that connects AI builders (LLMs, copilots, chatbots, enterprise AI apps) with high-quality content and data sources in real time. The marketplace enables LLMs to ground their responses in fresh, authoritative, and diverse content while ensuring publishers and creators are fairly rewarded.

We’re looking for a Principal Product Manager – Publisher Content Marketplace – to own and represent the needs of our AI consumers — from large model providers to independent builders. You will define how AI systems access, value, and pay for grounding content, and ensure that marketplace pricing, policies, and performance are shaped by measurable demand-side outcomes.

This role sits at the intersection of product, economics, and experimentation – ideal for a PM who enjoys building 0 to 1, is a self-starter and thrives in ambiguity.

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.

• Represent AI builder needs
  • Act as the voice of AI builders in marketplace design – ensure the platform supports a wide range of grounding use cases (chatbots, copilots, enterprise bots, search models, etc.).
  • Collaborate closely with Business Development (BD) and partnership teams during demand-side negotiations to translate customer requirements into product and pricing features.
  • Define and evolve access tiers, usage models, and APIs that meet enterprise and model-builder needs for quality, latency, and transparency.
• Define Grounding Value metrics
  • Work with data science and applied research teams to define quantitative measures of grounding quality (e.g., accuracy uplift, hallucination reduction, factual recall, response satisfaction).
  • Partner with supply PMs to translate these into value signals that inform payout to content providers.
• Design and Lead Experiments
  • Drive the experiment roadmap for understanding grounding & content value, partnering with engineering and applied science teams to progress on the road to true price discovery over time.

Required Qualifications:

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

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Deep familiarity with LLM grounding, RAG systems, or data retrieval APIs.
• Solid analytical and experimental mindset — experience running A/B or cluster experiments, defining metrics, and interpreting results.
• Background in economics, data science, or applied experimentation (e.g., causal inference, pricing models, or marketplace dynamics).
• Ability to collaborate across engineering, BD, and research functions.
• Excellent communication — able to translate technical and economic concepts into executive language.
• Drive industry partnerships, advocate for publisher interests, define common interoperability standards, and work with forums and alliances to make AI content usage scalable and sustainable.

#MicrosoftAI 

Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 10+ 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.
• 8+ years in technical engineering roles building large-scale services.
• 8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. 
• Proven ability to design, build, and ship agentic AI features or frameworks.
• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. 
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
• Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
• Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
• Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI

Software Engineering 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.

We’re building a first-of-its-kind Content Marketplace that connects AI builders (LLMs, copilots, chatbots, enterprise AI apps) with high-quality content and data sources in real time. The marketplace enables LLMs to ground their responses in fresh, authoritative, and diverse content while ensuring publishers and creators are fairly rewarded.

We’re looking for a Principal Product Manager to own and represent the needs of our AI consumers — from large model providers to independent builders. You will define how AI systems access, value, and pay for grounding content, and ensure that marketplace pricing, policies, and performance are shaped by measurable demand-side outcomes.

This role sits at the intersection of product, economics, and experimentation – ideal for a PM who enjoys building 0 to 1, is a self-starter and thrives in ambiguity.

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.

• Represent AI builder needs
  • Act as the voice of AI builders in marketplace design – ensure the platform supports a wide range of grounding use cases (chatbots, copilots, enterprise bots, search models, etc.).
  • Collaborate closely with Business Development (BD) and partnership teams during demand-side negotiations to translate customer requirements into product and pricing features.
  • Define and evolve access tiers, usage models, and APIs that meet enterprise and model-builder needs for quality, latency, and transparency.
• Define Grounding Value metrics
  • Work with data science and applied research teams to define quantitative measures of grounding quality (e.g., accuracy uplift, hallucination reduction, factual recall, response satisfaction).
  • Partner with supply PMs to translate these into value signals that inform payout to content providers.
• Design and Lead Experiments
  • Drive the experiment roadmap for understanding grounding & content value, partnering with engineering and applied science teams to progress on the road to true price discovery over time.

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 8+ years of product management experience in marketplaces, data or AI platforms or B2B SaaS.
• Deep familiarity with LLM grounding, RAG systems, or data retrieval APIs.
• Solid analytical and experimental mindset — experience running A/B or cluster experiments, defining metrics, and interpreting results.
• Background in economics, data science, or applied experimentation (e.g., causal inference, pricing models, or marketplace dynamics).
• Ability to collaborate across engineering, BD, and research functions.
• Excellent communication — able to translate technical and economic concepts into executive language.
• Drive industry partnerships, advocate for publisher interests, define common interoperability standards, and work with forums and alliances to make AI content usage scalable and sustainable.

#MicrosoftAI 

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for a Senior Applied Scientist to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.

As a Senior Applied Scientist on Bing Places, you will work on challenging problems that require deep technical expertise and a solid focus on real‑world impact. You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents.

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.

• Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production.
• Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage.
• Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics.
• Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation.
• Own experimentation pipelines, including offline validation and large‑scale online A/B flighting.
• Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance.
• Drive technical direction within your problem space and influence broader modeling and platform decisions.
• Document and communicate results through technical design reviews, papers, and patent filings.

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.
• Solid foundation in machine learning, statistical methods, and data‑driven problem solving.
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets.
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).
• Solid understanding of experimentation methodologies, including offline metrics and online A/B testing.
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments.
• Solid collaboration skills and experience working with engineering and product partners.
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences.
• 4+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning).
• Background in search, information retrieval, knowledge graphs, or local/entity understanding.
• Experience shipping models into large‑scale production systems with real user impact.
• Track record of publications or granted/pending patents.
• Familiarity with distributed training, model optimization, and production ML infrastructure.
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations.

#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.

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 $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 looking for a talented Backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment.

This team is responsible for building and scaling the core backend platform – Orchestrator, Inference and APIs that power Consumer Copilot—enabling rapid development, deployment, and iteration of AI-powered features and experiences while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results. Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

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, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

As a Member of Technical Staff – Backend Engineer, you will be responsible for the following: 

• Build secure and performant APIs that power Copilot apps.
• Work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Required/Minimum 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

• 4+ years’ experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework.
• 4+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
• 4+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
• Experience working with AI platforms, frameworks, and APIs.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team

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

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Help reinvent how advertising outcomes are measured in the AI era. You’ll join Microsoft Advertising in building always-on measurement foundations that power performance, trust, and optimization at global scale. You’ll work on systems that transform raw conversion events into actionable attribution signals—so advertisers can understand what worked, what didn’t, and how to improve as customer journeys evolve.

As a Principal Software Engineer on the Conversion & Attribution engineering team, you will provide technical leadership for our near real-time conversion pipeline and attribution platform—driving architecture, reliability, and privacy-aware measurement across multiple services and scenarios. You’ll partner with engineering, product, data science, and privacy/compliance stakeholders to evolve a unified, configurable attribution architecture that enables faster iteration, higher correctness, and consistent measurement across surfaces. You will raise the bar on operational excellence for business-critical services and be a key technical voice in shaping how we measure outcomes responsibly in the era of AI.

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 end-to-end technical strategy and architecture for conversion measurement and attribution, aligning stakeholders on goals for latency, correctness, privacy, and long-term platform evolution.
• Authors and drives adoption of cross-service designs (data contracts, identity/joins, deduplication, late-event handling, and backfills) that scale to high-volume, globally distributed traffic.
• Builds and ships critical components in the near real-time conversion/attribution pipeline, focusing on performance, resilience, maintainability, and safe rollouts.
• Defines SLOs/SLIs and operational standards; elevates observability through metrics, dashboards, logging, tracing, and actionable alerts; leads incident reviews and reliability roadmaps.
• Acts as a Designated Responsible Individual (DRI) for key services, establishing operational playbooks, on-call readiness, and engineering best practices that reduce toil and improve MTTR.
• Mentors and grows other engineers through design reviews, technical coaching, and setting a high bar for engineering rigor, testing, and security.
• Partners with privacy, security, and compliance teams to ensure measurement and telemetry data is handled responsibly and supports evolving industry and regulatory requirements.
• Leverages AI tools to boost up engineering productivity and operational efficiency.

Required Qualifications:

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

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience leading architecture and delivering production systems across multiple services/teams, including design reviews, dependency alignment, and driving adoption of shared patterns and platforms.
• Deep experience with streaming / near real-time processing and reliability patterns (SLOs/SLAs, backpressure, late events, idempotency, exactly-once/at-least-once tradeoffs, replay/backfill strategies).
• Experience building high-throughput distributed systems and data platforms (e.g., event ingestion, stateful processing, large-scale joins, and low-latency serving) with solid performance and cost discipline.
• Experience with ads measurement / conversion tracking / attribution systems, including privacy- and compliance-aware handling of measurement and telemetry data (e.g., consent, retention, access controls, auditability).
• Track record of operational leadership for tier-0/tier-1 services: incident command, post-incident learning, and driving sustained reliability improvements.
• Ability to translate ambiguous product and business needs into a technical roadmap; communicate effectively with senior technical and non-technical stakeholders.

#MicrosoftAI 

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.