Member of Technical Staff – Engineering Manager, Copilot Memory and Personalization
Member of Technical Staff – Engineering Manager, Copilot Memory and Personalization
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- Job Number
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- Category
- Country
- Discipline
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 Backend Engineering Manager to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Build and lead a team of backend and machine learning engineers, including driving project planning, prioritization of work, and designing features.
- Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform.
- Make hands-on contributions to the codebase and infrastructure.
- Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements.
- Ship AI powered experiences that will shape how millions of people will interact with AI in the future.
- Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
Qualifications
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.
- 3+ years of people manager experience.
Preferred Qualifications
- Bachelor’s degree in computer science OR related technical field AND 10+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Proven experience building large-scale distributed systems and optimizing workloads for efficiency and scalability.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Experience building large-scale ranking algorithms and recommender systems.
Software Engineering M5 – 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 M6 – 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.
#Copilot #MicrosoftAI
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Member of Technical Staff – Retrieval-Augmented Generation (RAG)
Member of Technical Staff – Retrieval-Augmented Generation (RAG)
- Location
- Job Number
- City
- Category
- Country
- Discipline
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 to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).
- Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.
- Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.
Qualifications
Required Qualifications
- Bachelor’s degree in computer science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years’ experience building APIs and creating pipelines for large-scale products
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.
- Experience building and deploying machine learning or large language model (LLM) applications at scale.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Experience designing and implementing large-scale embedding, retrieval, and ranking systems.
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
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Member of Technical Staff – Backend Engineer, Copilot Memory and Personalization
Member of Technical Staff – Backend Engineer, Copilot Memory and Personalization
- Location
- Job Number
- City
- Category
- Country
- Discipline
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 Backend Engineer to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).
- Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.
- Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and share knowledge with other engineers.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.
- Embody our culture and values
Qualifications
Required Qualification
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- 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.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Experience building and deploying machine learning or large language model (LLM) applications at scale.
- Experience designing and implementing large-scale embedding, retrieval, and ranking systems.
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.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Member of Technical Staff, AI Safety Post-Training
Member of Technical Staff, AI Safety Post-Training
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- Job Number
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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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- 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
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Member of Technical Staff, Data Research Engineer
Member of Technical Staff, Data Research Engineer
- Location
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- Discipline
Overview
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.
At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
Required Qualifications:
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- 2+ years of experience in data analysis or data engineering
- Proficiency in statistics and exploratory data analysis methods
- Ability to communicate technical findings effectively to research and product teams
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
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.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Member of Technical Staff, AI Platform Engineer
Member of Technical Staff, AI Platform Engineer
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- Job Number
- City
- Category
- Country
- Discipline
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.
At Microsoft AI, AI is part of everything we do. Our AI Product Acceleration team is dedicated to enabling rapid development and deployment of AI across our products. We collaborate closely with the top AI engineers in the world, working at the bleeding edge of engineering and AI research.
If you are passionate about AI, eager to work at the forefront of technology, and want to be part of a team that empowers all other teams at Microsoft Copilot to build AI products quickly and seamlessly – join us as an AI Platform Engineer!
By applying to this U.S. Mountain View CA position, you are required to be local to the Mountain View CA area and in office 3 days a week.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
As an AI Platform Engineer, you will play a crucial role in building and releasing production software at the platform level. You will work on APIs, data flows, systems, and services that form the backbone of our AI products. Your expertise will help us create robust and scalable platforms that drive innovation and efficiency.
- Design, develop, and maintain platform-level software solutions.
- Collaborate with cross-functional teams to integrate AI capabilities into various products.
- Ensure the reliability, scalability, and performance of platform components.
- Stay updated with the latest advancements in AI and engineering.
- Work alongside the technical staff and AI researchers to improve model development flows.
- Embody our Culture and Values.
Qualifications
Required Qualifications
- Bachelor’s degree in computer science, or related/equivalent technical discipline AND 4+ years technical engineering experience building and scaling web services, APIs, and products.
- OR equivalent experience.
- Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js)
- 4+ years’ experience in building and releasing production software at the platform level.
- Strong knowledge of APIs, data flows, systems, and services.
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
- 6+ years’ experience in building and releasing production software at the platform level.
- Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)
- Experience in model pretraining, post-training, evaluation, and inference
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Experience going from zero-to-one as well as working with developed systems.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
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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Member of Technical Staff, AI – Multimodal
Member of Technical Staff, AI – Multimodal
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- Job Number
- City
- Category
- Country
- Discipline
Overview
Help deliver one of the best foundational models in the world at Microsoft AI.
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. The Multimodal team at Microsoft AI tackles 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.
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:
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.
- Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making.
- Have experience and/or in-depth understandings about large-scale distributed systems.
- Demonstrate an ability to work collaboratively in a fast-paced, innovative 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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines.
- Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
- Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.
- Innovate and iterate over ideas, prototypes, and product.
- 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 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.
Preferred Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 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.
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Member of Technical Staff, AI – Reinforcement Learning Systems
Member of Technical Staff, AI – Reinforcement Learning Systems
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Overview
Help build the world’s most advanced reinforcement learning systems at Microsoft AI.
We’re on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you’ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.
We are looking for distributed systems experts with a scientific mindset. The ideal candidate will be able to build complex systems from the ground up, discover and diagnose causes of suboptimal performance, and contribute to solving scientific and research challenges. Specifically, they should:
- Excel in programming (especially parallel/concurrent), software engineering, and API design
- Have experience in large-scale systems, preferably having built some components from scratch.
- Thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Effectively manage multiple responsibilities and can adjust to shifting priorities
- Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users
A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.
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.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs.
- Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.
- Embody our culture of collaboration, innovation, and excellence.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python
- OR equivalent experience.
- Experience with large-scale software systems and infrastructure.
- Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.
Preferred Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python
- OR equivalent experience.
- Background in machine learning research.
- Experience with large scale distributed AI systems.
- Ability to work collaboratively in a fast-paced, innovative environment.
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
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Member of Technical Staff, AI – Personality & Personalization
Member of Technical Staff, AI – Personality & Personalization
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Overview:
Microsoft AI is seeking a highly skilled and passionate engineer to join our Copilot Personality & Personalization team, where you’ll help redefine the way humans interact with computers. This role is ideal for someone who thrives in fast-paced, dynamic environments and is eager to push the boundaries of AI research and engineering. Beyond technical expertise, we value positive energy, empathy, and collaboration, as these qualities are integral to our team’s success.
You might thrive in this role if:
You’re an expert in Natural Language Processing, Reinforcement Learning, and Machine Learning, with a strong focus on personalization.
You have experience training and optimizing large-scale language and multimodal models, as well as building robust evaluation pipelines.
You’re comfortable working with large ML codebases, debugging complex issues, and improving system performance.
You’re passionate about language and how computers use it.
You thrive in technically complex environments, with a track record of delivering innovative, real-world AI solutions.
If you’re passionate about solving open-ended AI challenges and turning breakthrough research into world-class consumer experiences, we’d love to hear from you!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities:
- Drive innovation in conversational AI, ensuring Copilot’s personality and model behavior are engaging, effective, and aligned with user needs.
- Conduct cutting-edge research around AI personality and model behavior, leveraging techniques such as synthetic data generation and reinforcement learning to fine-tune responses.
- Develop and optimize post-training methods, enhancing AI performance beyond initial training phases.
- Design and implement scalable AI models, contributing to model architecture, data curation, training & inference infrastructure, and evaluation protocols.
- Collaborate across teams to integrate new AI capabilities into real-world products, ensuring seamless deployment and user adoption.
- Overcome roadblocks and find solutions to rapidly iterate and deploy improvements, getting AI-powered experiences into the hands of users quickly.
- Work in a design-driven, product-focused environment, balancing technical excellence with usability and real-world impact.
- Embody our Culture and Values.
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, Python, C, C++, C#, or TypeScript
- OR equivalent experience.
- Experience applying, evaluating, and/or training large language models (LLMs).
Preferred Qualifications:
- 3+ years experience developing and deploying live production systems, as part of a product team.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- 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 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.
#Copilot #MicrosoftAI
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Member of Technical Staff AI Platform Engineer
Member of Technical Staff AI Platform Engineer
- Location
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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.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities:
- 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.
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