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.

The Budget Optimization Engineering team at Microsoft builds the real-time data infrastructure that powers programmatic advertising at global scale. The team owns Java-based microservices handling budget distribution, campaign discovery and ranking, bid-price optimization, Kafka-based streaming pipelines, and job orchestration — across datacenters.

We are looking for a Senior Software Engineer to join this team and drive a significant Azure migration: moving services from legacy infrastructure (Concourse CI, internal Artifactory, Maestro) to modern Azure tooling (Azure DevOps, ACR, AKS). This role spans infrastructure engineering and service development, and requires deep Kubernetes expertise to design and ship production-grade deployments.

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.

• Service Development 
  • Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using Java, Python (and C# where applicable). 
  • Maintain and improve production services across the optimization platform — including Kafka streaming pipelines, budget controllers, job orchestration (job-broker), and deal monitoring — with a focus on reliability and strict SLA adherence. 
  • Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation pipelines. 
  • Work closely with PMs, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities. 
  • Contribute to the full service lifecycle: design, implementation, testing, code review, and deployment. 
  • Improve reliability and observability of Kafka consumer/producer pipelines (offset management, retry strategies, delivery guarantees) across cross-datacenter replication flows. 
• Infrastructure & Cloud 
  • Design and implement Kubernetes/Helm deployments for services currently running on legacy orchestration (Maestro, SAND instances, bare Docker), targeting Azure-native cloud infrastructure. 
  • Integrate application telemetry (Prometheus/Dropwizard Metrics) with Azure Application Insights and Azure Log Analytics to support production observability and SLA monitoring. 
  • Apply practical experience with Azure services — including AKS, ACR, and Azure Key Vault — to support secure, cloud-native deployments. 
• Collaboration & Standards 
  • Lead initiatives to make delivery of high-quality software routine and efficient across the full SDLC, from inception and technical design through testing and production operations. 
  • Participate in architecture discussions and enforce engineering standards through design reviews, code reviews, and mentorship of junior engineers. 
  • Contribute to runbooks, deployment documentation, and oncall readiness.
  • Leverage AI dev tools across the software development lifecycle to raise team-wide engineering productivity.   

Required:

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

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

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

Preferred:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, Go, 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#, Java, Go, or Python
  • OR equivalent experience.
• 7+ years of technical experience in software development, service engineering, or systems engineering. 
• 5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms with strict SLA requirements. 
• Apache Kafka — solid understanding of consumers, producers, offset management, partition strategies, performance tuning, and cross-datacenter replication patterns. 
• Kubernetes — production experience writing and deploying Helm charts; hands-on with Deployments, StatefulSets, Services, ConfigMaps, Secrets, Jobs, and HPAs; comfortable with multi-cluster and multi-datacenter environments. 
• Cloud infrastructure — practical experience with Azure (AKS, ACR, Azure Key Vault, Azure Application Insights, Azure Log Analytics); familiarity with Azure DevOps or equivalent CI/CD platforms. 
• Large-scale data processing — experience with Spark, SQL-based pipelines, or equivalent frameworks for high-throughput event streaming and analytics. 
• Distributed systems — understanding of cross-datacenter replication patterns, consistency trade-offs, and fault-tolerant service design. 
• Background in advertising, marketing technology, attribution, real-time bidding, programmatic advertising, or large-scale analytics. 
• Experience integrating third-party vendor/partner platforms, identity systems, or data collaboration technologies. 
• Solid problem-solving skills with a focus on reliability, observability, and system design. 

#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.

The Budget Optimization Engineering team at Microsoft builds the real-time data infrastructure that powers programmatic advertising at global scale. The team owns Java-based microservices handling budget distribution, campaign discovery and ranking, bid-price optimization, Kafka-based streaming pipelines, and job orchestration — across datacenters.

We are looking for a Senior Software Engineer to join this team and drive a significant Azure migration: moving services from legacy infrastructure (Concourse CI, internal Artifactory, Maestro) to modern Azure tooling (Azure DevOps, ACR, AKS). This role spans infrastructure engineering and service development, and requires deep Kubernetes expertise to design and ship production-grade deployments.

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.

• Service Development 
  • Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using Java, Python (and C# where applicable). 
  • Maintain and improve production services across the optimization platform — including Kafka streaming pipelines, budget controllers, job orchestration (job-broker), and deal monitoring — with a focus on reliability and strict SLA adherence. 
  • Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation pipelines. 
  • Work closely with PMs, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities. 
  • Contribute to the full service lifecycle: design, implementation, testing, code review, and deployment. 
  • Improve reliability and observability of Kafka consumer/producer pipelines (offset management, retry strategies, delivery guarantees) across cross-datacenter replication flows. 
• Infrastructure & Cloud 
  • Design and implement Kubernetes/Helm deployments for services currently running on legacy orchestration (Maestro, SAND instances, bare Docker), targeting Azure-native cloud infrastructure. 
  • Integrate application telemetry (Prometheus/Dropwizard Metrics) with Azure Application Insights and Azure Log Analytics to support production observability and SLA monitoring. 
  • Apply practical experience with Azure services — including AKS, ACR, and Azure Key Vault — to support secure, cloud-native deployments. 
• Collaboration & Standards 
  • Lead initiatives to make delivery of high-quality software routine and efficient across the full SDLC, from inception and technical design through testing and production operations. 
  • Participate in architecture discussions and enforce engineering standards through design reviews, code reviews, and mentorship of junior engineers. 
  • Contribute to runbooks, deployment documentation, and oncall readiness.
  • Leverage AI dev tools across the software development lifecycle to raise team-wide engineering productivity.   

Required:

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

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

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

Preferred:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, Go, 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#, Java, Go, or Python
  • OR equivalent experience.
• 7+ years of technical experience in software development, service engineering, or systems engineering. 
• 5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms with strict SLA requirements. 
• Apache Kafka — solid understanding of consumers, producers, offset management, partition strategies, performance tuning, and cross-datacenter replication patterns. 
• Kubernetes — production experience writing and deploying Helm charts; hands-on with Deployments, StatefulSets, Services, ConfigMaps, Secrets, Jobs, and HPAs; comfortable with multi-cluster and multi-datacenter environments. 
• Cloud infrastructure — practical experience with Azure (AKS, ACR, Azure Key Vault, Azure Application Insights, Azure Log Analytics); familiarity with Azure DevOps or equivalent CI/CD platforms. 
• Large-scale data processing — experience with Spark, SQL-based pipelines, or equivalent frameworks for high-throughput event streaming and analytics. 
• Distributed systems — understanding of cross-datacenter replication patterns, consistency trade-offs, and fault-tolerant service design. 
• Background in advertising, marketing technology, attribution, real-time bidding, programmatic advertising, or large-scale analytics. 
• Experience integrating third-party vendor/partner platforms, identity systems, or data collaboration technologies. 
• Solid problem-solving skills with a focus on reliability, observability, and system design. 

#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.

Are you highly organized, collaborative, and known for your exceptional attention to detail? Do you thrive in a fun, high‑energy environment? If so, Microsoft AI is looking for an experienced Business Administrator to support managers and the broader organization within our Search Growth and Experiences team.

The ideal and successful candidate for this role needs to navigate a fast-paced environment, be agile and embrace changes, be able to multi-task, have excellent interpersonal skills, take initiative, demonstrate good judgment, and must maintain a high level of confidentiality. They must be highly competent at setting priorities while executing multiple tasks simultaneously. A successful candidate must build trust through consistent and timely follow-up, with excellent clarity in communication.

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.

• Calendar Management & Meeting Logistics
  • Provide calendar management and time-planning support for multiple executives, aligning calendars based on executives’ preferences, priorities, and operating styles.
  • Manage community space and conference room calendars as needed including troubleshooting audio, video, and technical issues during meetings as needed.
  • Ensure meetings are fully prepared, including room booking and AV/technical setup.
• Cross-Functional Collaboration & Communication
  • Build and maintain solid relationships with stakeholders across multiple organizations (e.g., Business Support, HR, Finance, Events, peers).
  • Coordinate and communicate effectively with internal and external partners to enable leader and team execution.
• Discipline Growth & Development
  • Actively engage in the Business Support community, mentoring less experienced colleagues and supporting onboarding and training efforts.
  • Promote a positive organizational culture through collaboration, knowledge sharing, and role modeling best practices.
  • Document, standardize, and share operational best practices and insights to drive continuous improvement.
• Event Coordination & Logistics
  • Support planning, coordination, promotion, and execution of events, including defining objectives, scope, success criteria, and creating or co‑owning itineraries and run‑of‑show documentation.
  • Act as a primary point of contact for event communications, proactively managing updates, risks, and issue escalation to ensure successful delivery.
  • Lead post‑event closeout activities such as attendance tracking, materials distribution, and follow‑ups, while fostering positive team dynamics and morale.
• Project Ownership
  • Execute projects and tasks with minimal supervision, owning assigned workstreams end‑to‑end with clear accountability.
  • Identify and communicate risks, dependencies, and challenges early to ensure successful delivery.
  • Drive continuous process improvements and operational efficiencies across workflows.
• Resource & Financial Management
  • Manage equipment and inventory planning, tracking, and maintenance; oversee vendors and suppliers, including setup and purchase order (PO) support.
  • Process expense reports in full compliance with Microsoft policies and procedures.
  • Partner with business management to plan, track, and report on discretionary budgets (e.g., morale, hardware, supplies).
• Rhythm of Business (ROB)
  • Support execution of the team’s rhythm of business and operating cadence, coordinating scheduling and meeting logistics aligned to business priorities.
  • Identify patterns and interdependencies across business cycles to support effective planning and decision‑making.
• Space Management & Planning 
  • Maintain accurate space management processes, records, and system data across offices, desks, and conference rooms.
  • Coordinate day-to-day space logistics and support large-scale initiatives including moves, buildouts, and restocks, serving as liaison across stakeholders.
  • Use space utilization data to identify trends, offer recommendations, and support planning for future space needs.
• Team Management Support (Headcount, Hiring, Onboarding/Offboarding)
  • Support team experience and engagement activities.
  • Partner with Global Talent Acquisition and hiring managers to coordinate recruitment logistics, onboarding, and offboarding for employees, vendors, and interns.
  • Manage operational logistics and systems including equipment ordering, workstation setup, DLs, security groups, headcount tracking, transfers, reporting, and transactions.
• Travel Management
  • Arrange domestic and international travel for leaders and team including, accommodations, transportation, security, itineraries and group travel needs while adhering to Microsoft policies.
  • Ensure required travel documentation is obtained (e.g., visas, immunization records).

Required:

• 2+ years Administrative, Business Support, and/or customer service 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:

• 3+ years administrative, business support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and basic administration work.
• Associate’s/Bachelor’s Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology) OR equivalent experience.
• 1+ year(s) experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training).

#MicrosoftAI #MAI #Bing

Business Support ATR-C – The typical base pay range for this role across the U.S. is USD $25.10 – $43.80 per hour. 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 $35.72 – $51.11 per hour.

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 Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value.

We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend.

The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.

As a Principal Applied Scientist, you will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem. You will partner across research, engineering, and product leadership to introduce advanced inference techniques into production systems operating at massive scale.

This is a high-ownership role focused on solving structurally hard problems where ground truth is limited, experimentation is non-trivial, and scientific rigor is essential to unlocking durable marketplace advantage.

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.

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
• Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
• Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
• Serve as a subject-matter expert and technical advisor on attribution and causal inference.
• Mentor scientists and influence technical direction to raise the organization’s scientific bar.

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.
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    5+ years experience conducting research as part of a research program (in academic or industry settings).
    3+ years experience developing and deploying live production systems, as part of a product team.
    3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
• Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems.
• Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning.
• History of mentoring senior scientists and elevating organizational scientific capability.
• Experience influencing director- or VP-level technical strategy.
• Demonstrated track record of setting technical direction for large-scale machine learning or statistical systems that delivered measurable business impact.
• Deep expertise in causal inference, data-driven attribution, treatment effect estimation, counterfactual learning, or experimental design — applied in production environments.
• Experience leading ambiguous, high-impact initiatives where ground truth is limited and methodological rigor is critical.
• Proven ability to influence strategy and drive adoption of new measurement or modeling approaches beyond an immediate team.
• Significant experience developing and deploying production ML systems across multiple stages of the product lifecycle.
• Solid scientific judgment with a history of selecting appropriate methodologies under real-world constraints.
• Exceptional communication skills with the ability to translate complex technical concepts into guidance for senior technical and business leaders.

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 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.

Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value.

We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend.

The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.

As a Principal Applied Scientist, you will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem. You will partner across research, engineering, and product leadership to introduce advanced inference techniques into production systems operating at massive scale.

This is a high-ownership role focused on solving structurally hard problems where ground truth is limited, experimentation is non-trivial, and scientific rigor is essential to unlocking durable marketplace advantage.

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.

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
• Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
• Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
• Serve as a subject-matter expert and technical advisor on attribution and causal inference.
• Mentor scientists and influence technical direction to raise the organization’s scientific bar.

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.
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    5+ years experience conducting research as part of a research program (in academic or industry settings).
    3+ years experience developing and deploying live production systems, as part of a product team.
    3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
• Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems.
• Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning.
• History of mentoring senior scientists and elevating organizational scientific capability.
• Experience influencing director- or VP-level technical strategy.
• Demonstrated track record of setting technical direction for large-scale machine learning or statistical systems that delivered measurable business impact.
• Deep expertise in causal inference, data-driven attribution, treatment effect estimation, counterfactual learning, or experimental design — applied in production environments.
• Experience leading ambiguous, high-impact initiatives where ground truth is limited and methodological rigor is critical.
• Proven ability to influence strategy and drive adoption of new measurement or modeling approaches beyond an immediate team.
• Significant experience developing and deploying production ML systems across multiple stages of the product lifecycle.
• Solid scientific judgment with a history of selecting appropriate methodologies under real-world constraints.
• Exceptional communication skills with the ability to translate complex technical concepts into guidance for senior technical and business leaders.

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 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.

Empower Every Learner. Shape the Future of Education with Microsoft AI. Hello future teammate! We’re on quite the bold mission; we’re building an AI companion that’s truly empathetic, kind, and equal partners to our users. This isn’t an assistant—it’s a thoughtful collaborator that grows alongside the people they serve. We believe AI should elevate human potential through genuine connection and mutual understanding.

You’ll join our small team as a Prompt Engineer, the architect of these relationships. You’ll craft the foundations that enable meaningful human-AI partnerships. You’ll shape how our companions think, respond, and evolve through language—if you’ll allow slight anthropomorphization, teach them how to be their best selves. You’re somewhat of a designer, somewhat of an engineer, and somewhat of a mad scientist. You’ll work intimately with the design and leadership team—because this is the product!—you’re designing the core of the experience.

This isn’t just engineering—it’s a profound exploration of what connection can mean in the age of artificial intelligence. No big deal. Just another Tuesday.

What we are looking for

• Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes
• A novel prompting discovery: a really interesting challenge that you’ve solved in a creative way
• Scaled implementation: you’ve shipping prompted systems that work reliably at production scale with diverse user populations
• Evaluation design: you’ve built robust testing frameworks to measure AI behavior against goals
• User-centric approach: proven understanding of how prompting decisions impact the lived experience of people who interact with AI
• A wonderful writer who loves words, storytelling, or linguistics.
• Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences
• Comfort with ambiguity in an exponentially growing space

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.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.

• Design & develop prompting techniques for emotional and intellectual use cases
• Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care
• Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ
• Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team
• Research & implement novel prompting techniques
• 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.

Additional or preferred qualifications

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.

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.

Join the Copilot Team and be at the forefront of AI-powered innovation. We are redefining the future of intelligent solutions, creating seamless connections across Windows, M365, and Azure. Our mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Our values of respect, integrity, and accountability drive our inclusive culture where everyone can thrive. #CopilotTeam

As a Senior Software Engineer (AI Engineer), you will be responsible for designing, optimizing, and implementing advanced prompt engineering strategies to enhance the performance, controllability, and application effectiveness of large language models (LLMs). You will work closely with cross-functional teams (product, AI/ML, and engineering) to drive prompt optimization across real-world business scenarios, ensuring efficient inference, high-quality responses, and seamless user experience.

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, develop, and implement robust and scalable software applications that utilize AI techniques.
• Develop and optimize LLM prompt engineering techniques (e.g., Chain of Thought, ReAct, Few-Shot Learning, Self-Consistency, Prompt Chaining) to enhance model coherence, reasoning, and controllability.
• Optimize LLM models and their performance for specific use cases.
• Improve model accuracy, contextual understanding, and response reliability while minimizing hallucinations and irrelevant outputs.
• Help identify opportunities to improve and optimize existing systems using LLM.
• Work closely with Finetuning & Evaluation teams, engineering, and product teams to integrate LLM-powered solutions into Copilot.
• Stay up to date with the latest LLM research and best practices, applying new advancements to real-world applications.
• Provide technical leadership, mentoring junior engineers on prompt engineering, LLM optimization, and AI best practices.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of software engineering experience.
• Hands-on experience working with LLMs such as ChatGPT, LLaMA, Claude, Mistral, and a deep understanding of prompt engineering techniques.
• Solid problem-solving skills in LLM inference optimization, token efficiency, and response tuning.
• Experience with AI frameworks and libraries such as LangChain.
• Deep understanding of AI ethics, bias mitigation, and RAI principles.
• Proven experience in leading technical teams and making architectural decisions for AI-powered applications.
• Solid communication and collaboration skills, with the ability to work across product, engineering, and F&E teams.

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.
• 7+ years of software engineering experience, with expertise in Python (experience in C# or Java).

#MicrosoftAI 

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.

Join the Copilot Team and be at the forefront of AI-powered innovation. We are redefining the future of intelligent solutions, creating seamless connections across Windows, M365, and Azure. Our mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Our values of respect, integrity, and accountability drive our inclusive culture where everyone can thrive. #CopilotTeam

As a Senior Software Engineer (AI Engineer), you will be responsible for designing, optimizing, and implementing advanced prompt engineering strategies to enhance the performance, controllability, and application effectiveness of large language models (LLMs). You will work closely with cross-functional teams (product, AI/ML, and engineering) to drive prompt optimization across real-world business scenarios, ensuring efficient inference, high-quality responses, and seamless user experience.

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, develop, and implement robust and scalable software applications that utilize AI techniques.
• Develop and optimize LLM prompt engineering techniques (e.g., Chain of Thought, ReAct, Few-Shot Learning, Self-Consistency, Prompt Chaining) to enhance model coherence, reasoning, and controllability.
• Optimize LLM models and their performance for specific use cases.
• Improve model accuracy, contextual understanding, and response reliability while minimizing hallucinations and irrelevant outputs.
• Help identify opportunities to improve and optimize existing systems using LLM.
• Work closely with Finetuning & Evaluation teams, engineering, and product teams to integrate LLM-powered solutions into Copilot.
• Stay up to date with the latest LLM research and best practices, applying new advancements to real-world applications.
• Provide technical leadership, mentoring junior engineers on prompt engineering, LLM optimization, and AI best practices.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years of software engineering experience.
• Hands-on experience working with LLMs such as ChatGPT, LLaMA, Claude, Mistral, and a deep understanding of prompt engineering techniques.
• Solid problem-solving skills in LLM inference optimization, token efficiency, and response tuning.
• Experience with AI frameworks and libraries such as LangChain.
• Deep understanding of AI ethics, bias mitigation, and RAI principles.
• Proven experience in leading technical teams and making architectural decisions for AI-powered applications.
• Solid communication and collaboration skills, with the ability to work across product, engineering, and F&E teams.

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.
• 7+ years of software engineering experience, with expertise in Python (experience in C# or Java).

#MicrosoftAI 

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.