Member of Technical Staff, AI Pretraining Platform
Member of Technical Staff, AI Pretraining Platform
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Help build the world’s most advanced training platform at Microsoft AI
We are on a mission to create the leading pretraining platform to develop the world’s most capable AI frontier models. This platform will span one of the world’s most foremost GPU clusters, pushing the boundaries of scale, performance, and reliability.
The AI Pre–training Platform team at Microsoft AI is responsible for all aspects of infrastructure including scalability, benchmarking, kernel development, performance optimizations, communications, and fault tolerance to support our model pre-training 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 outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:
- Are passionate about the infrastructure enabling large-scale AI model training
- 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.
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 develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data.
- Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.
- Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.
- Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.
- Embody our culture and values.
Required/Minimum Qualifications
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
- Experience with HPC (High performance computing) and/ or parallel programming?
- Experience in the area of pretraining
- Experience working with GPU clusters
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.
#Copilot #MicrosoftAI
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Member of Technical Staff, AI Pretraining
Member of Technical Staff, AI Pretraining
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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 Pre-Training 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. We are looking for candidates who:
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects
- Exhibit strong 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
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, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations
- Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack
- Collaborate closely with teams on infrastructure, data, post-training, and multimodality
- Embody our culture and values.
Required/Minimum 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
- Proven expertise in the area of pretraining
Additional or Preferred Qualifications
- 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.
#copilot #microsoftAI
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Member of Technical Staff – Machine Learning, AI Safety
Member of Technical Staff – Machine Learning, AI Safety
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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.
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 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.
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Member of Technical Staff, AI Multimodal
Member of Technical Staff, AI Multimodal
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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 strong 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.
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.
Required Qualifications
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- Expertise in multimodal Research with a strong publishing track record
#copilot #microsoftAI
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Member of Technical Staff, AI Post-Training
Member of Technical Staff, AI Post-Training
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Help us develop and train the cutting-edge models that are served in Copilot.
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.
The AI Post–Training team at Microsoft AI is responsible for all aspects of post–training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models and products.
We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:
- Are passionate about shipping models into products that users will love
- 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
- Are willing to meaningfully contribute as individuals with 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.
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 data collection, evaluation, and finetuning methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
- Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.
- Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.
- Embody our culture and values.
Required/Minimum 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
- Expertise in post-training of AI models
Additional or Preferred Qualifications
- 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.
- Proven research track record in a domain related field supported by exceptional papers
#copilot #microsoftAI
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Member of Technical Staff, Data Research Engineer
Member of Technical Staff, Data Research Engineer
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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, analyse, 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 behaviours, 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.
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, pre-processing, filtering, and annotation
- Analyse 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 technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- 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 technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- 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
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.
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Member of Technical Staff – Product Engineer
Member of Technical Staff – Product Engineer
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Overview
At Microsoft, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented full-stack Product Engineers to join our multimodal team. As part of our mission, you will play a key role in crafting user experiences that highlight new applications of state-of-the-art AI models shaping the future.
Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape.
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
- Product Development & Feature Implementation: Design and deliver end-to-end consumer AI experiences and internal tools by leveraging TypeScript, Python, C#, and React.
- Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
- Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.
- Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work.
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 TypeScript, Python, C#, C, C++, Java OR equivalent experience.
- Experience in building and deploying web-based tools or applications.
Preferred Qualifications
- Experience with React JS or other modern JavaScript frameworks.
- Experience with modern backend frameworks such as .NET or Node.js.
- Experience in software development, with a focus on building end to end AI consumer products.
- Demonstrated understanding of data structures, algorithms, and software design principles.
- Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
- 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.
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