Senior Applied Scientist
Senior Applied Scientist
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- Discipline
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.
Responsibilities
- Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
- Drive experimentation and validation of models. Mentor junior scientists and contribute to model governance and Responsible AI practices.
- Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems.
- Advance feature adoption scoring and health check analytics through data-driven approaches.
- Engineer optimal prompts for various LLM calls, using chain-of-thought and other advanced techniques.
- Fine-tune SLMs to efficiently scale the solution to millions of advertisers.
- Generate account planning guidance, tailored talking points, pitch assets, follow ups using agentic orchestration.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
- Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
- Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
- Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
- LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.
#MicrosoftAI
Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Data Scientist
Member of Technical Staff – Data Scientist
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We’re looking for data scientists to help build the next generation of post-training methods for frontier models at Microsoft AI. You’ll join a small, high-impact team working across all stages of post-training, with a focus on evaluation design, high-quality training data, and scalable data pipelines for state-of-the-art foundation models.
In this role, you’ll help turn raw model capability into reliable, aligned, and measurable performance improvements, directly shaping how frontier models behave in real-world deployments.
About the Role:
Microsoft AI is building the next generation of frontier models that power Copilot and other large-scale AI experiences. The Post-Training team is responsible for transforming powerful pretrained models into robust, aligned, and high-performing systems used by millions of people worldwide.
Our work focuses on improving general quality, instruction following, coding and math ability, tool use, agentic behaviors, personality, and other critical model capabilities. We operate across the full post-training lifecycle — from data generation and curation, to evaluation and diagnostics, to reward modeling and reinforcement learning.
We are a small, highly autonomous team that works closely with pre-training, product, and engineering partners to rapidly iterate on ideas, run large-scale experiments, and safely advance model capabilities. Each team member owns meaningful parts of the post-training pipeline and has direct access to the compute, data, and decision-making needed to move quickly from insight to production.
Microsoft Superintelligence Team
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
Design evaluations of advanced model capabilities and use them to drive rapid, high-signal iteration loops
Work with vendors to produce high quality evaluation and training data
Build data pipelines to produce high quality evaluation and training data
Build data flywheels to hill-climb on model weaknesses, using data from various surfaces where our models are deployed
Ensure optimal quality, quantity and coverage of data across our post-training stages
Run post-training experiments and ablations to produce models that climb our evals
Embody our culture and values.
We’re Looking For People Who:
Have deep experience with LLMs, either training them or applying them in production
Have developed production-scale data pipelines for synthesizing, curating, or processing large quantities of data
Can design, run, and interpret large-scale ML experiments with careful statistical and empirical reasoning.
Possess strong generalist engineering and mathematical skills.
Have clear written and verbal communication, and the ability to collaborate effectively with researchers, engineers and other disciplines.
Bonus skills: Demonstrated SOTA results in any area of large-scale training, inference, or evaluation.
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.
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Software Engineer II
Software Engineer II
- Location
- Job Number
- City
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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.
Responsibilities
- Solid understanding of technical support issues required. Must have sufficient technical depth to communicate with development and other internal organizations at a peer level.
- Working with data science team members, understanding their workflows, and translating them into specific requirements as new features for the platform.
- Design/implement and assess these features before they are ready to deploy.
- Collaborate with partner teams to integrate different systems and/or improve existing interfaces with such a system to improve overall End2End availability and reliability of the platform.
- Being a strong collaborator and helping with other engineering tasks such as DRI, code reviews, deployments and debugging as needed.
Qualifications
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.
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 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.
- Hands-on software development expertise including object-oriented design skills, .NET, Azure services.
- Excellent analytical skills.
- Excellent communication skills, including ability to write concise and accurate technical. documentation, communicate technical ideas.
#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.
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Principal Software Engineer
Principal Software Engineer
- Location
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- Country
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Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the auto-bidding platform that powers real-time ad auctions across Microsoft’s marketplaces—leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.We’re looking for a Principal Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic auto-bidding platform — one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.Explore and invest in emerging AI techniques — multi-agent systems, adaptive optimization—to enhance the autonomy, intelligence, and impact of the bidding platform.
Qualifications
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.
Preferred
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink.
- 4+ years of experience as a technical lead, including mentoring and guiding engineers.
- 7+ years of experience developing and deploying large-scale distributed systems in production environments.
- 7+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management.
- Domain knowledge and experience building large scale distributed bidding or auction platforms.
- Experience building real world applications using AI techniques.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
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
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.
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Senior Software Engineer
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Are you interested in being part of an organization of ~$10 billion in revenue and still growing? Are you looking to join a fun and invigorating environment, where people openly collaborate and are empowered to innovate?
Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billion of a $600 billion advertising market already online. Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. We are a team of engineers and scientist that is tasked to build the platform for bing.ads and provide ads service to global partners.
To do that, we are looking for a driven and highly collaborative Senior Software Engineer to join our team. The role provides an exciting opportunity to shape the future bing.ads platform and final customer facing product. If you are excited of joining an entrepreneurial and diverse team to respond to global demand and new scenario and deliver world class product, look no further! We are excited to hear from you.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Proficient problem solving and coding ability.
- Self-driven ability to collaborate with various partner to deliver complex features.
- Work on high QPS low latency online platform for ads engine. Processing logs to analyze the performance and improvement.
Qualifications
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.
- 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
– 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 OR equivalent experience. - Extensive professional experience and deep expertise in C++ programming.
- Independent experience to drive a feature to completion.
- High QPS system design and implementation experience.
- 3+ years of expereince of DRI/Oncall experience.
- 3+ years of professional, working proficiency in C++.
- Proficient technical design, problem solving and debugging skills is assumed.
#MicrosoftAI #Ads #OnlineServing #Infrastructure
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.
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MTS – Developer Evangelist
MTS – Developer Evangelist
- Location
- Job Number
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- Team
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At Microsoft AI (MAI) we are pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
Microsoft AI (MAI) is seeking experienced Developer Evangelists to…
Champion the adoption of our AI platform technologies for developers in MAI and across Microsoft. Work with the mission to empower engineering teams to build faster, smarter, and more reliably on our platform. As a Developer Advocate, you’ll serve as the connective tissue between platform engineering and product teams, translating technical capabilities into developer-friendly experiences and feedback into actionable improvements. You will work closely with platform architects and engineers to simplify AI application-building and create repeatable patterns for building AI products across Microsoft. Work hands-on to improve and refine our libraries and the developer experience as a whole.
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.
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 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.
Responsibilities
Create technical content (tutorials, sample apps, blog posts, videos) that demonstrates real-world uses and best practices for the company’s platform or APIs.
Organize and deliver live presentations, workshops, ,webinars, and internal events to drive awareness and practical adoption.
Maintain and contribute to developer-facing documentation, SDKs, command-line tools, and code examples to improve onboarding and reduce friction.
Act as the primary liaison between the developer community and platform engineering teams; surface feature requests, common bugs, and usability issues.
Monitor internal channels, and telemetry to respond to questions, triage problems, and identify trends.
Measure and report on developer metrics (adoption, retention, active usage, contributions) and craft narratives to show business impact.
Create feedback loops and structured processes for bug reporting, feature prioritization, and product validation with developers.
Advocate for developer-first design inside the company by insisting on clarity, tooling, and workflows that reduce cognitive load and friction.
Qualifications
Required
Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred
Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Hands-on coding experience
API design and consumption (REST, GraphQL)
Building and publishing SDKs and client libraries
Sample app architecture and full-stack demo construction
Debugging tools and troubleshooting production issues
Git workflows and open-source contribution patterns
Containerization (Docker) and local orchestration
Cloud platform fundamentals (AWS/GCP/Azure)
CI/CD pipelines and release automation
Infrastructure as Code (Terraform, CloudFormation)
Instrumentation and monitoring basics (logs, metrics, traces)
Command-line interface (CLI) tooling and scripting
Technical documentation and documentation tooling
Package management and registry publishing (npm, PyPI)
Front-end frameworks and component libraries
Database fundamentals (SQL/NoSQL) and simple schema design
Security basics (auth flows, tokens, OAuth, API keys)
Testing strategies for example code (unit/integration)
Performance profiling and optimization for demos
Knowledge of open-source licenses and governance
Soft Abilities
Public speaking and stage presence
Technical storytelling and narrative construction
Empathy with developer challenges and workflows
Clear, concise technical writing for diverse audiences
Community building and relationship management
Feedback synthesis and product advocacy
Time management and prioritization across travel and content creation
Collaboration and cross-functional communication
Problem framing and solution validation
Adaptability and resilience under public scrutiny
Negotiation and partnership development
Mentoring and teaching patience
Cultural sensitivity for global developer audiences
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.
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Member of Technical Staff – Software Engineer (SuperIntelligence team)
- Location
- Job Number
- City
- Team
- Country
- Discipline
Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.
You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.
Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.
Microsoft Superintelligence Team
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
- Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
- Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
- Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
- Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
- Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
- Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.
Qualifications
Required qualifications
- Strong software engineering fundamentals building large‑scale, production systems
- Hands‑on ownership of production infrastructure (not just usage)
- Python used as a primary language in production systems
- Kubernetes + containers: deploying, operating, and supporting production workloads
- Experience building or operating platform services (job orchestration, data/compute pipelines, shared infra)
- Production operations ownership: monitoring, logging, alerting, and incident response
- Experience on cloud platforms (Azure preferred; AWS/GCP acceptable)
- Comfortable with distributed systems, networking, and storage
Desired qualifications
- Built or owned ML / AI platform infrastructure (training, evaluation, experiment pipelines)
- Experience with GPU clusters, HPC, or large batch compute systems
- Infrastructure‑as‑code experience (Terraform, Helm)
- Observability tooling (Prometheus, Grafana, OpenTelemetry)
- Internal developer tooling experience (CLIs, portals, job submission tools)
- Data pipeline orchestration (Airflow, Argo, streaming systems)
- Container security, CI/CD, and reproducible deployments
- Experience supporting AI research or model development teams
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.
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Principal Product Manager, Agentic Experiences
Principal Product Manager, Agentic Experiences
- Location
- Job Number
- City
- Team
- Country
- Discipline
Responsibilities
- Identify user workflows where AI adds clear value, basing decisions on data and user feedback.
- Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.
- Work directly with research, engineering, and design to turn AI research into practical products that scale and serve users well.
- Create and use evaluation methods to track product quality, user experience, and safety throughout development.
- Set up data processes for sourcing, labeling, and using data to boost model and product performance.
- Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.
- Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.
- Promote adoption by showing how technical features translate into user benefits and growth.
- Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem review
Qualifications
- Bachelor’s Degree AND 8+ years’ experience in product management or software development OR equivalent experience.
- 5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.
- 3+ years of experience building products that leverage AI/ML technologies.
- Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.
- Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.
- Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).
- Effective collaboration and communication skills with a bias for action and inclusion.
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.
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Principal Product Manager, Foundational AI Research
Principal Product Manager, Foundational AI Research
- Location
- Job Number
- City
- Team
- Country
- Discipline
- Have built data collection or evaluation pipelines for pre-training or post-training AI models
- Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models
- Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment
- Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area
- Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.
Responsibilities
- Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.
- Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
- Create model prototypes to prove out new feature directions and scope projects.
- Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
- Foster a culture of collaboration, continuous improvement, and growth.
- Advance the AI frontier responsibly
Qualifications
- Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
- 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
- Experience building and shipping data pipelines or evaluation systems personally.
- A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory.
- Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers.
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.
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Principal Software Engineer
Principal Software Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
This role offers an exciting opportunity to contribute to the innovation and evolution of a system operating at an exceptional scale and speed. You’ll face a wide variety of technical challenges: from designing new features and optimizing performance down to the millisecond, to building scalable infrastructure for containerized services. You’ll work alongside a passionate, world-class engineering team, own major feature areas, and collaborate globally. If you thrive on solving complex technical problems in a dynamic environment, this is the opportunity for you.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and develop large-scale, distributed systems—including CPU and GPU ranking platforms—to support real-time processing of millions of ad requests per second with high efficiency, extensibility, diagnosability, reliability, and maintainability.
- Lead architecture discussions, create technical design documents, and drive end-to-end solution planning—identifying system dependencies, performance optimizations, and security/compliance requirements across interconnected services.
- Implement features and enhancements with a focus on code quality, maintainability, and scalability; conduct thorough code reviews to uphold Microsoft engineering standards and ensure solutions are production-ready.
- Serve as a Designated Responsible Individual (DRI) for live-site operations on a rotational on-call basis, proactively identifying, resolving, and escalating service degradations or interruptions to maintain high availability.
- Guide testing strategies and quality assurance plans, including unit tests, automation, and telemetry-based diagnostics to validate assumptions, ensure reliability, and drive continuous improvement in service performance.
- Mentor engineers on software engineering best practices, reusable patterns, and tooling; lead efforts to improve performance through debugging, refactoring, experimentation, and instrumentation at scale.
- Drive engineering excellence through compliance with global and local regulations, investment in modern tools and trends, and close collaboration with partner teams to deliver secure, performant, and customer-aligned ad-serving solutions.
Qualifications
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#, Python OR equivalent experience.
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.
- Proven experience in designing, implementing, and validating deep learning systems for real-time online inference.
Solid expertise in optimizing machine learning models for GPUs, including development of custom CUDA kernels for performance-critical workloads. - Hands-on experience in designing, implementing, and scaling large-scale, distributed online systems with a deep understanding of system architecture is a must.
- Proven ability to profile, analyze, and optimize performance and capacity of native C++ systems in complex, high-throughput environments.
#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.
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