Job Number
1970324837016566-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking experienced Member of Technical Staff – Web to help build the Copilot Web Platform that powers the experiences on copilot.microsoft.com, Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.
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 position, you are required to be in office 3 days a week in the posted locations/locations
Responsibilities
As a Member of Technical Staff – Web, you will be responsible for the following:
- Design and build a high-performance front-end platform that drives multiple complex web applications.
- Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future
- Empower developers to build the most performant product experiences through tooling, primitives and capabilities.
- Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
- Join a small team of passionate product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.
- Embody our Culture and Values.
Required Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React
- OR equivalent experience.
Preferred Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React
- OR equivalent experience.
- Proficient background in Web Performance optimizations, browser internals and scaling the web stack.
- Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
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.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#Copilot #MicrosoftAI
Member of Technical Staff – Copilot AI Web Engineering Manager
Mountain View, United States
Apply nowJob Number
1970324837016119-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking experienced Member of Technical Staff – Copilot AI Web Engineering Manager to help build the Copilot web experiences which are available on copilot.microsoft.com, Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.
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.
Responsibilities
In this role, you will:
- Hire, manage and lead a team of web engineers responsible for the quality and performance of Copilot’s web products
- Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future
- Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
- Design and build a performant front-end infrastructure that drives multiple complex web applications
- Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with web technologies including, but not limited to, Typescript and React
- OR equivalent experience.
- 3+ years people management experience.
Preferred Qualifications:
- Bachelor’s Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React
- OR equivalent experience.
- 6+ years people management experience.
- Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
- Have strong opinions about best investments to make in establishing the most delightful and performant web engineering system.
Software Engineering M5 – 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.
Software Engineering M6 – 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#microsoftai #copilot
Job Number
1970324837016029-en-1
As Microsoft AI 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.
Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design and AI Research teams. This role requires a
balance of technical skills and effective people collaboration skills. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at
work and beyond.
As a Technical Program Manager, Copilot AI, you will operate at the crossroads of product development, customer insights, and research, shaping the evolution of transformative AI solutions. You will take charge of the customer feedback lifecycle, driving strategic prioritization, comprehensive documentation, and deep analysis to enhance product
experiences. By championing product excellence, you will synthesize diverse feedback channels into actionable insights, streamline processes, and uphold the highest standards of quality, ensuring continuous improvement and impactful features for our customers.
We are looking for candidates who is:
- Passionate about deeply aligning with customer engagement and feedback.
- Keenly aware and able to manage timelines and schedules of mission critical launches.
- Take the initiative and enjoy building world-class consumer experiences and products in a highly collaborative, fast-paced environment.
- Savvy with data and deriving insights from customer feedback, and triage issues until fully resolved.
- Bring an abundance of positive energy, empathy, and kindness, in addition to being highly effective.
- Effectively manage multiple responsibilities and can adjust to shifting priorities.
By applying to this U.S. Mountain View, CA, you are required to be local to
the San Francisco area and in office 3 days a week
As a Member of Technical Staff, Technical Program Manager, you will be responsible for the following:
- Product feedback life cycle: Manage, coordinate and execute end-to-end customer feedback process, specifically focused on triaging, reporting, dashboard, analysis , ensuring our Copilot experiences are delivered to address customer issues with high quality.
- Champion Product Quality: Review customer feedback across many channels, provide deep analysis and improve processes and maintain robust product quality for users worldwide.
- Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively.
- Leverage Data & Insights: Collaborate with analytics teams to define key success metrics, correlate improvements to usage, and influence roadmaps based on data-driven insights.
- Foster a Growth Mindset: Mentor team members, Manage vendor resources, share best practices, and cultivate a culture where everyone feels empowered to innovate, learn, and grow.
- Apply Technical Expertise: Dive deep into product and system architecture to better understand root causes, shape solutions, and drive high-impact improvements with engineering partners
- Drive Scalable Solution: Design repeatable processes and frameworks that scale with product complexity and organizational growth, ensuring operational stability and continues improvement
Required Qualifications
- Bachelor’s Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 1+ year(s) experience managing cross-functional and/or cross-team projects.
Preferred Qualifications
- Bachelor’s Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 4+ years experience managing cross-functional and/or cross-team projects.
- 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos)
Technical Program Management 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.
Technical Program Management 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
Job Number
1970324837015672-en-3
Overview
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.
The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training and improving our pre-trained models to advance the state-of-the-art on a wide variety of internal and external benchmarks. Our goal is to push our models’ capabilities in reasoning and instruction following, math, code, and tool use and agentic tasks, among many other areas.
This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.
We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:
- Are passionate about advancing the state of post-training research;
- Have experience with reward modeling, RL, or other post-training techniques;
- Will thrive in a highly collaborative, fast-paced environment;
- Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence.;
- Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects
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
- Develop data collection, evaluation, and post-training methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
- Embody our culture and values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline 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.
- Have experience with reward modeling, RL, or other post-training techniques.
Preferred Qualifications
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR 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 equivalent experience.
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
Job Number
1970324837015672-en-2
Overview
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.
The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training and improving our pre-trained models to advance the state-of-the-art on a wide variety of internal and external benchmarks. Our goal is to push our models’ capabilities in reasoning and instruction following, math, code, and tool use and agentic tasks, among many other areas.
This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.
We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:
- Are passionate about advancing the state of post-training research;
- Have experience with reward modeling, RL, or other post-training techniques;
- Will thrive in a highly collaborative, fast-paced environment;
- Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence.;
- Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects
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
- Develop data collection, evaluation, and post-training methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
- Embody our culture and values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline 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.
- Have experience with reward modeling, RL, or other post-training techniques.
Preferred Qualifications
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR 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 equivalent experience.
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
Job Number
1970324837015672-en-1
Overview
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.
The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training and improving our pre-trained models to advance the state-of-the-art on a wide variety of internal and external benchmarks. Our goal is to push our models’ capabilities in reasoning and instruction following, math, code, and tool use and agentic tasks, among many other areas.
This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.
We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:
- Are passionate about advancing the state of post-training research;
- Have experience with reward modeling, RL, or other post-training techniques;
- Will thrive in a highly collaborative, fast-paced environment;
- Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence.;
- Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects
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
- Develop data collection, evaluation, and post-training methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
- Embody our culture and values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline 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.
- Have experience with reward modeling, RL, or other post-training techniques.
Preferred Qualifications
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR 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 equivalent experience.
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
Job Number
1970324837009674-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MS AI) is seeking skilled engineers to advance the next generation of capabilities for our personal AI, Copilot. This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development—from inception to delivery, ensuring exceptional quality and seamless implementation. Ideal candidates will have robust experience in infrastructure, platform engineering, and machine learning, bringing technical expertise and a methodical problem-solving approach. Collaboration across teams at Microsoft is key, as you’ll work to expand Copilot’s integrations and scope, creating world-class consumer experiences in a fast-paced, innovative environment. Join a team where positivity, empathy, and effectiveness are as valued as technical acumen.
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.
Responsibilities:
- Work on building new AI features that enhance copilot.
- Build secure and performant AI Platform services that power Copilot.
- Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications:
Required Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang
- OR equivalent experience.
- Experience leveraging generative AI technologies to develop innovative and user-focused product features.
- 4+ years’ experience building APIs and creating pipelines for large-scale products
- 4+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
Preferred Qualifications:
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837015629-en-1
Overview
As an AI Data Quality Technical Program Manager, you will work at the nexus of data creation, AI model development, and third-party partners. You will be responsible for ensuring that our research data needs are being met and that our data creation vendors are providing high-quality, high-value and compliant data to support our research priorities.
We are seeking a highly analytical and detail-oriented AI training data quality assurance (QA) specialist with a strong background in coding + STEM, phenomenal attention to detail, and program management experience to ensure the quality and integrity of data creation and annotation work performed by Microsoft partners. This individual will play a key role in defining data collection requirements, reviewing and validating complex annotations, ensuring alignment with project guidelines, building instructions and guidelines to annotators, actively enhancing coordination with vendors, giving feedback to vendors, and supporting the continuous improvement of data quality processes that result in improved model training and evaluation. This role will involve deep interaction with senior AI scientists across Microsoft AI.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this role based in U.S. Mountain View, CA. You are required to be local to the San Francisco area and be in office 3 days a week.
Responsibilities
- Help drive overall data creation and vendor management strategy.
- Perform quality assurance checks on vendor-provided coding, STEM, RLHF, and other data collection types.
- Collaborate with internal teams and vendors to define quality metrics and resolve discrepancies.
- Develop and maintain data annotation instructions, guidelines and templates.
- Provide detailed feedback and coaching to vendors to uphold high-quality standards.
- Identify systemic quality issues and drive root-cause analysis and resolution plans.
- Support program management of annotation workflows, timelines, and priorities.
- Monitor progress and help track key performance indicators (KPIs) related to QA.
- Participate in designing and improving annotation tooling and platform for QA features.
- Help ensure the safe, compliant, responsible, and agile use of data to support our research priorities.
- Help other Microsoft AI building teams access data for training as needed. Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 6 years’ experience in STEM and Code data creation efforts that involve complex QA and program management
- OR Master’s Degree in Computer Science, Mathematics, Engineering, or a related technical field AND at least 4 years’ experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience
- OR equivalent experience
- 4+ years of experience in leading multi-disciplinary projects, defining requirements, developing project plans and working with technical teams to execute them
- Excellent attention to detail and critical thinking skills
- Solid understanding of programming concepts, data structures, and algorithms.
- Experience in managing and goal tracking data collection or other equivalent programs
- Experience in coding, or technical program management.
- Strong LLM practitioner, who frequently uses LLMs and understands how training data is used to improve them
- Solid communication and collaboration skills, with the ability to give clear, constructive feedback.
Preferred Qualifications
- PhD. in a relevant field AND at least 6 years’ experience in STEM and Code data creation efforts that involve complex QA and program management, or equivalent experience.
- 6+ years’ experience managing cross-functional and/or cross-team projects.
- Familiarity with Python, SQL, JS or other programming languages used in data annotation.
- Background in educational content, coding assessments, or STEM domains.
- Experience working with data labeling platforms and quality monitoring tools.
Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #copilot
Job Number
1970324837015277-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Our Platform Infrastructure team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production.
We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
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.
Responsibilities
- Design, develop, and maintain performant and secure AI Platform services that power Copilot.
- Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
- Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building services and products in languages such as Python, C#, C++, Rust, Java.
- OR equivalent experience.
- 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
- 4+ years’ experience in building and releasing production software at the platform level.
- Solid knowledge of APIs, data flows, systems, and services.
Preferred Qualifications:
- Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
Job Number
1970324837015563-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in data science technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Growth Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.
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
- Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.
- Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation
- Define metrics and build basic data pipelines to enable A|B experimentation for new features.
- Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own
- Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes identifying market opportunities, optimizing app flows and improving product features and proposing innovation solutions based on data.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))
- OR equivalent experience.
Data Science IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 – $250,200 per year.
Data Science IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 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 $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot