Job Number
1970324837005449-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 is looking for a talented backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment.
Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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
- Build secure and performant APIs that power Copilot apps.
- Work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building mobile app backend applications with coding in languages including, but not limited to, C#, Python, C++, Rust, Java, Golang, Ruby
- OR equivalent experience.
- 4+ years’ experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework.
- 4+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 4+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
Additional or Preferred Qualifications (PQs)
- Experience working with AI platforms, frameworks, and APIs.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $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
1970324837015157-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 Platform Engineers to help shape the next wave of capabilities for our personal AI, Copilot. This role involves building user-facing features powered by Generative AI at the core of the Copilot experience, taking full ownership of their development from inception through delivery. We collaborate closely with cross-functional engineering, product management, design, and AI research teams. Operating within a fast-paced, innovative environment, our focus is on creating software systems that effectively bring cutting-edge AI research to production-ready consumer experiences. Ideal candidates possess deep proficiency in infrastructure and platform engineering, employ a methodical and data-driven approach to problem-solving, and contribute positive energy, empathy, and effectiveness to the team daily.
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 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.
- Experience leveraging generative AI technologies to develop innovative and user-focused product features.
- 4+ years’ experience building APIs, platforms, and 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 working with AI platforms, frameworks, and APIs.
- 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.
- 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 IC3 – The typical base pay range for this role across the U.S. is USD $98,300 – $193,200 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 $127,200 – $208,800 per year.
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.
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
1970324837012728-en-1
Overview:
As a Member of Technical Staff – Machine Learning, you will work on the AIPA Platform squad to ensure correct and accurate functionality of Copilot. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques for prompt engineering and fine tuning, or training content classifiers to support the Copilot experience. We’re looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
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:
- Leverage subject matter expertise to uncover and mitigate model quality and model performance issues in consumer Copilot.
- Oversee data acquisition or generation efforts, ensuring that the data meets product needs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Lead evaluation efforts of models deployed within Copilot.
- Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
- Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
- Independently write efficient, readable, extensible code and model pipelines.
- Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
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.
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Demonstrated interest in Responsible AI.
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.
#copilot
Job Number
1970324837010567-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 looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot. This role focuses on optimizing user engagement, retention, and personalization with innovative AI solutions, with a strong preference for expertise in recommendation systems and feed algorithms. However, we also welcome candidates with broader machine learning experience and a passion for solving dynamic AI challenges.
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 Mountain View, CA position, you are required to be local to San Francisco area and in office 3 days a week.
Responsibilities:
- Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning.
- Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
- Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
- Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.
- Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.
- Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.
- Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.
- Embody our Culture and Values.
Qualifications:
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, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Proficiency in programming languages like Python or R, with experience in data processing frameworks (e.g., Spark, Hadoop).
- Demonstrated success in working with large datasets and cloud platforms such as AWS, GCP, or Azure.
Preferred Qualifications:
- Advanced degree (PhD/MS) in Computer Science, Machine Learning, AI, or a related field; or equivalent experience.
- Proven expertise in building and deploying recommendation systems and personalized feed algorithms at scale.
- Experience using large language models (LLMs) for machine learning and AI applications.
- Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Expertise in personalization strategies and user behavior modeling.
- Strong problem-solving skills and the ability to independently design solutions to complex challenges.
- Excellent communication skills, with the ability to influence technical and non-technical audiences.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Machine Learning Engineer 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.
Machine Learning Engineer 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.
#copilot #MicrosoftAI
Job Number
1970324837010558-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.
We are seeking a highly skilled and experienced Member of Technical Staff – Voice & Vision to join our team and drive the development of voice and vision capabilities for our Copilot product. The ideal candidate will have a strong background in engineering, with a focus on voice recognition, natural language processing, and computer vision technologies. As a Member of Technical Staff – Voice & Vision, you will be a founding engineer in a team that is at the forefront of generative AI, making significant strides in audio while aggressively pushing into the nascent field of video.
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.
Key Responsibilities:
- Work on cutting-edge technologies with a focus on voice and vision, including super resolution and real-time video streaming.
- Collaborate with a dynamic team to deliver innovative solutions that enhance the user experience across various platforms.
- Apply expertise in audio and video technologies to new AI contexts, focusing on traditional methods such as noise suppression and echo cancellation to enhance voice quality across mobile platforms.
- Develop and implement advanced techniques for video and image manipulation, including upscaling and super resolution.
- Lead the integration and rollout of vision capabilities, ensuring seamless collaboration between the vision and voice teams to deliver next-level improvements and expand functionality across various contexts.
- Drive hands-on development of voice-heavy and video-heavy features, pushing the boundaries of generative AI in both audio and video domains.
- Collaborate with product managers, designers, and other stakeholders to define technical requirements and deliverables.
- Design, develop, and optimize voice recognition algorithms, including acoustic modeling, language modeling, and speech-to-text conversion.
- Implement and enhance natural language processing (NLP) techniques, such as named entity recognition, sentiment analysis, and intent detection.
- Develop and refine computer vision algorithms for tasks such as image classification, object detection, and facial recognition.
- Ensure the scalability, performance, and reliability of voice and vision systems through rigorous testing and validation.
Required Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline 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 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, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
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.
Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $161,600 – $286,200 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 $209,600 – $314,400 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrsoftAI #Copilot
Job Number
1970324837010436-en-1
Overview
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
Help deliver one of the best foundational models in the world at Microsoft AI.
We’re looking for a highly motivated and detail-oriented AI Technical Program Manager to help bring our vision to life. We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:
- Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models.
- Have experience in working side-by-side with researchers and engineers.
- Thrive in a fast-paced, innovative environment.
- Are passionate about managing high stakes time-sensitive large-scale programs.
- Take the initiative and enjoys finding paths through complexity in a fast-paced environment.
- Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress.
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.
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
- Co-ordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles.
- Collaborate with the product team and other engineers and researchers across Microsoft and other vendors to identify gaps and drive timelines towards resolutions and mitigations.
- Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics.
- Foster a culture of collaboration, continuous improvement, and growth.
- Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.
- Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team.
- Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
- Advance the AI frontier responsibly
- Embody our culture and values.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 6+ years experience in working with AI researchers, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 6+ years experience managing cross-functional and/or cross-team projects.
Preferred Qualifications:
- Bachelor’s Degree AND 10+ years experience in working with AI researchers, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 10+ years experience managing cross-functional and/or cross-team projects.
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
1970324837009196-en-1
Overview
Microsoft AI is looking for a talented Backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Growth engineering team is responsible for user acquisition, engagement, retention, and feature development that drives rapid growth, while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results.
Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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
- Build secure and performant APIs that power Copilot iOS and Android apps.
- Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure.
- 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.
- Partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement.
- Embody our Culture and Values.
Qualifications
- Build secure and performant APIs that power Copilot iOS and Android apps.
- Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure.
- 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.
- Partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement.
- Embody our Culture and Values.
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.
#Copilot #MicrosoftAI
Job Number
1970324837008319-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 Product Engineers 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:
- Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future
- Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world
- Design and build efficient and reusable front-end systems that drive complex web applications
- Plan and deploy front end infrastructure necessary to build, test, and deploy our products
- 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 4+ years software engineering experience building web products at scale by 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 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React
- OR Master’s Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React
- OR equivalent experience.
- Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
- 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 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.
#Copilot #MicrosoftAI
Job Number
1970324837008311-en-1
Overview
At 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.
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.
About this role
As a Principal Product Manager – Consumer Copilot, Productivity, you will pioneer new use cases of AI in personal productivity tools. You’ll help create experiences where users and AI collaborate seamlessly, empowering everyone to get more done with less stress and more efficiency. This zero-to-one role touches the core of Copilot product. You’ll apply creativity and first-principles thinking. In partnership with AI researchers, designers, and engineers, you’ll fundamentally reshape human-AI collaboration.
By applying to this Mountain View, CA, U.S. position, you are required to be local to the San Francisco area and in office 3 days a week.
Responsibilities
- Develop the product strategy and vision for Copilot’s consumer productivity vertical, across Copilot (app/website), Windows, Bing, and Edge.
- Create zero to one products that transform cutting-edge AI capabilities into world-class applications in personal productivity.
- Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end to end product development, launches and iterations.
- Establish clear goals and performance metrics, design experiments, and measure success through data analysis and research insights.
- Spearhead complex cross-functional initiatives with effective stakeholder management, communication and storytelling.
- 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, collaborative, design-driven, product development environment.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 8+ years experience in product management
- OR equivalent experience.
- Track record of creating design-driven consumer products from concept to launch and finding product market fit.
Preferred Qualifications:
- Bachelor’s Degree AND 10+ years of experience in product management
- OR equivalent experience.
- Experience building consumer or prosumer productivity tools, community platforms, messaging applications, entertainment products, or a widely-used daily consumer apps.
- Demonstrated success building consumer products that leverage Machine Learning or Large Language Models.
- Motivated to solve problems, balance competing priorities and adapt quickly to evolving business needs.
- Proven ability to contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Working knowledge of SQL and coding skills (Python, Javascript).
- Strong written and verbal communication.
- Visionary but pragmatic. You can develop a vision and also lay out clear steps to get there.
Product 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.
#copilot #MicrosoftAI
Job Number
1970324837008310-en-1
Overview
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.
We’re on the lookout for talented and passionate Product Managers (PM) to help build the next wave of capabilities of our personal AI, Copilot. As a Principal Growth Product Manager on Copilot, you will balance creativity, curiosity, technical expertise, to drive challenging projects to successful completion. You will play a key role on our mission to build an AI companion for everyone by helping people discover and engage with Copilot and build a trusted relationship. You will collaboratively work with engineers, designers, data scientists, and AI researchers to take ambiguous projects and mold them into amazing experiences to delight our customers. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
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.
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 OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.
Responsibilities
- Drive building world-class AI experiences that will delight consumers across Copilot.
- Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
- 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.
- Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams.
- Define goals and performance indicators, set up and oversee experiments, measure success with data and research. You will use data (qualitative and quantitative) to identify bottlenecks in the growth funnel and execute rapid experiments.
- Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 8+ years experience in product management
- OR equivalent experience.
- Experience leading product teams building consumer products.
- Proven track record of executing high-impact growth experiments.
Preferred Qualifications:
- Bachelor’s Degree AND 10+ years of experience in product management
- OR equivalent experience.
- Experience leading product teams building consumer products in personal productivity, search, education or messaging.
- Experience building consumer products leveraging Machine Learning or Large Language Models.
- 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.
- Experience with data analytics and experimentation tools. Working knowledge of SQL and coding skills (Python, Javascript).
Product 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.
#copilot #MicrosoftAI