Job Number
1970324837029176-en-3
Overview
As a Member of Technical Staff, AI Safety Post-Training, you will work to develop and implement cutting-edge safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research 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.
Responsibilities
- Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models.
- Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.
- Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.
- Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
- Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
- 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.
- Experience prompting and working with large language models.
- Experience writing production-quality Python code.
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 interest in Responsible AI.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Job Number
1970324837029176-en-2
Overview
As a Member of Technical Staff, AI Safety Post-Training, you will work to develop and implement cutting-edge safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research 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.
Responsibilities
- Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models.
- Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.
- Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.
- Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
- Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
- 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.
- Experience prompting and working with large language models.
- Experience writing production-quality Python code.
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 interest in Responsible AI.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Job Number
1970324837029176-en-1
Overview
As a Member of Technical Staff, AI Safety Post-Training, you will work to develop and implement cutting-edge safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research 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.
Responsibilities
- Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models.
- Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.
- Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.
- Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
- Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
- 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.
- Experience prompting and working with large language models.
- Experience writing production-quality Python code.
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 interest in Responsible AI.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Job Number
1970324837029020-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 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 backend 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 right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating 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 position, you are required to be local to the San Francisco area and in office 3 days a week.
Responsibilities
- Build secure and performant AI Platform services that power Copilot.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers 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.
Required Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, Go, C#, C++, Rust, Java
- OR equivalent experience.
- 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
- Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust
- 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.
- 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
1970324837028970-en-1
Overview
As a Member of Technical Staff – Machine Learning, AI Safety, you will develop and implement cutting-edge safety methodologies and mitigations for products that are served to millions of users through Copilot every day. Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience. We’re looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building world-class, trustworthy AI 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.
Responsibilities
Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.
Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.
Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.
Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters
Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
Embody our culture and values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience prompting and working with large language models.
- Experience writing production-quality Python code.
Preferred Qualifications
- Demonstrated interest in Responsible AI.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Job Number
1970324837028535-en-2
Overview:
We are on a mission to create the leading AI experience using the world’s most capable AI frontier models enabling human level intelligence and beyond. Building this experience will require us to have a seamless platform that will spans training and inference across one of the world’s most foremost GPU clusters, pushing the boundaries of scale, performance, and reliability.
The AI Product Acceleration team at Microsoft AI needs to track closely all aspects of infrastructure including cluster acquisition, capacity deployment, large scale GPU buildout, high-speed fabric buildout and validation, benchmarking, and performance optimizations to support and accelerate our model pre-training, post-training fine-tuning, and inferencing operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.
We are looking for a Member of Technical Staff, Technical Program Manager who would be the driving force behind all the activities mentioned above, track and manage the priorities across the various engineering teams delivering both hardware capacity and software components for pretraining. The individual should be excited and be proud about contributing to the next generation of systems that will transform the field. We are looking for candidates who:
- Are passionate about managing high stakes time-sensitive large-scale programs
- Are keenly aware and able to manage timelines and schedules of mission critical cluster hardware, software and services
- Have experience in navigating the timelines of datacenter capacity deploying thousands of GPUs and enable large-scale AI model training or inference clusters
- Will thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
- Effectively manage multiple responsibilities and can adjust to shifting priorities.
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. Redmond, WA (preferred) OR Mountain View, CA position, you are required to be local to the Seattle OR San Francisco area in office 3 days a week.
Responsibilities:
- Deeply understand, track and manage the timelines of datacenter construction and bring-up.
- Deeply understand, track and manage node, rack and cluster validation processes.
- Hold execution-focused meetings with various stake holders to accelerate GPU delivery timelines.
- Track and manage the capacity deployment, validation and benchmarking of AI supercomputers.
- 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.
- Working with a cross-disciplined crew across design, research, engineering, and data analysis to deliver a high-quality product and evaluate success towards business goals.
- Embody our culture and values.
Qualifications:
Required Qualifications:
- Bachelor’s Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 2+ years of experience managing cross-functional and/or cross-team projects.
- 1+ yrs of tracking and managing capacity deployment, validation, and benchmarking of GPU allocations for AI inferencing or training.
Preferred Qualifications:
- Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 6+ 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 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.
#Copilot #MicrosoftAI
Job Number
1970324837028535-en-1
Overview:
We are on a mission to create the leading AI experience using the world’s most capable AI frontier models enabling human level intelligence and beyond. Building this experience will require us to have a seamless platform that will spans training and inference across one of the world’s most foremost GPU clusters, pushing the boundaries of scale, performance, and reliability.
The AI Product Acceleration team at Microsoft AI needs to track closely all aspects of infrastructure including cluster acquisition, capacity deployment, large scale GPU buildout, high-speed fabric buildout and validation, benchmarking, and performance optimizations to support and accelerate our model pre-training, post-training fine-tuning, and inferencing operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.
We are looking for a Member of Technical Staff, Technical Program Manager who would be the driving force behind all the activities mentioned above, track and manage the priorities across the various engineering teams delivering both hardware capacity and software components for pretraining. The individual should be excited and be proud about contributing to the next generation of systems that will transform the field. We are looking for candidates who:
- Are passionate about managing high stakes time-sensitive large-scale programs
- Are keenly aware and able to manage timelines and schedules of mission critical cluster hardware, software and services
- Have experience in navigating the timelines of datacenter capacity deploying thousands of GPUs and enable large-scale AI model training or inference clusters
- Will thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
- Effectively manage multiple responsibilities and can adjust to shifting priorities.
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. Redmond, WA (preferred) OR Mountain View, CA position, you are required to be local to the Seattle OR San Francisco area in office 3 days a week.
Responsibilities:
- Deeply understand, track and manage the timelines of datacenter construction and bring-up.
- Deeply understand, track and manage node, rack and cluster validation processes.
- Hold execution-focused meetings with various stake holders to accelerate GPU delivery timelines.
- Track and manage the capacity deployment, validation and benchmarking of AI supercomputers.
- 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.
- Working with a cross-disciplined crew across design, research, engineering, and data analysis to deliver a high-quality product and evaluate success towards business goals.
- Embody our culture and values.
Qualifications:
Required Qualifications:
- Bachelor’s Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 2+ years of experience managing cross-functional and/or cross-team projects.
- 1+ yrs of tracking and managing capacity deployment, validation, and benchmarking of GPU allocations for AI inferencing or training.
Preferred Qualifications:
- Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 6+ 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 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.
#Copilot #MicrosoftAI
Job Number
1970324837025729-en-1
Overview
Microsoft AI is at the forefront of the responsible development and global deployment of AI to make everyone more informed, capable, and supported. We are creating unique, beautiful and powerful products that will change lives. We are proud of what we build, how we build it and that our products will define the AI era. It is a time of huge change in the AI landscape, and this role will put you right in the heart of it.
As a Program Manager for Responsible AI, you will work closely with teams across Microsoft considering all aspects of AI safety, governance and risk, ensuring that our principles and commitments are met in a timely and product-first manner.
This role, based within a highly agile interdisciplinary team, will allow you to grow and further your deep understanding of all aspects of AI development and deployment both within Microsoft and beyond.
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 achieve 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
As a Program Manager for Responsible AI, you will:
- Work as part of a fast-growing, interdisciplinary team of Responsible AI practitioners and with cross-functional teams in the day-to-day delivery and development of Copilot, ensuring that Microsoft’s Responsible AI principles and practices are satisfactorily embedded;
- Partner closely with colleagues in the Office of Responsible AI and Microsoft’s Corporate, External and Legal Affairs (CELA) team to develop, refine and apply innovative governance processes, responsive in part to a dynamic technical and regulatory landscape;
- Serve as a liaison between technical and non-technical stakeholders to ensure shared understanding of Responsible AI objectives;
- Develop and deliver training materials and resources to support Responsible AI awareness and adoption.
Qualifications
Required Qualifications
- Experience working in the Generative AI field in an engineering, product, policy or technical program management role OR equivalent experience;
- Bachelor’s Degree AND/OR experience in product/technical program management OR equivalent experience;
- Experience working on complex cross-functional projects;
- Strong organisational and communication skills; and
- Ability to navigate ambiguity and adapt to rapidly changing environments and demands.
Additional or Preferred Qualifications
- Experience working on complex legal or governance projects in a fast-paced technology setting; and
- Knowledge of relevant regulatory frameworks such as the EU AI Act, GDPR, or similar.
Job Number
1970324837026944-en-1
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.
As a Product Manager, AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, working closely with AI researchers to build and execute project plans. 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.
Responsibilities
- Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.
- Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
- Creating model prototypes to prove out new feature directions and scope projects.
- Engineering prompts to teach models how to behave across a wide range of scenarios.
- Working closely with researchers and engineers to define and manage engineering and research projects.
- Deploying and tracking AB model experiments in production
- Foster a culture of collaboration, continuous improvement, and growth.
- 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.
Required/Minimum Qualifications
- Bachelor’s Degree AND 8+ year’s experience in product/service/project/program management or software development
OR equivalent experience.
- Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.
- Experience working side-by-side with Researchers and/or Engineers
Preferred Qualifications:
- Experience managing cross-functional and/or cross-team projects.
#copilot #MicrosoftAI
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Product Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until 08/24/2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Job Number
1970324837004332-en-2
Overview
Microsoft AI is looking for a talented iOS 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 Native Engineering team is responsible for leading and building the core experience of Copilot on iOS and Android, while collaborating with our Product Management, Design and AI Research teams.
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 / Redmond, WA position, you are required to be local to the San Francisco/Redmond area and in office 3 days a week.
Responsibilities
- Care deeply about building outstanding consumer-grade mobile applications.
- Build consumer grade applications for iOS.
- Ship high-quality, well-tested, secure, and maintainable code.
- Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences.
- 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 developing mobile applications for iOS platforms with coding in languages including, but not limited to, Swift, Objective-C, or Java
- OR equivalent experience.
- Working knowledge of mobile application architecture, design patterns, and UI/UX principles.
Additional or Preferred Qualifications (PQs)
- Contributions to open-source projects.
- Experience building iOS applications from scratch.
- 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 mobile 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.
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