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Member of Technical Staff, AI Data – MAI Superintelligence Team Member of Technical Staff, AI Data – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200007159-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
Help build the world’s most advanced multimodal dataset at Microsoft AI 
 
We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.  
 
The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models 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. In particular, we are looking for candidates who: 
  • Are passionate about the role of data in 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.  
 
 


Responsibilities
Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). 
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
 


Qualifications
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 modelling or data engineering work 
OR equivalent experience.
Expertise in large scale data engineering ideally applied to AI
Expertise in Spark, Kubernetes or similar. 

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Technical Program Manager – AI/ML Technical Program Manager – AI/ML

Location
London, United Kingdom
Job Number
200009652-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Technical Program Management
Overview

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. 


Help deliver one of the best foundational models in the world at Microsoft AI. 

Microsoft Superintelligence Team


Microsoft Superintelligence team’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.  

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. 

We’re looking for highly motivated and detail-oriented Technical Program Managers to help bring our vision to life. We are seeking outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who: 

  • Deeply understand the pipeline of collecting data, training, evaluating, and serving language models and multimodal models. 

  • Have experience working side-by-side with AI researchers and engineers. 

  • Thrive in a 0->1, scrappy, innovative environment. 

  • Are passionate about managing high-stakes, time-sensitive, large-scale programs. 

  • Take initiative and enjoy finding paths through complexity in a fast-paced environment. 

  • Are comfortable owning projects that span offices, teams, and time zones, can coordinate different workstreams, and drive to relentlessly unblock progress. 

  • Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. 

  • Possess strong technical curiosity and judgment. 


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
  • Coordinate projects and programs including all elements of end-to-end program planning, timelines, milestones, performance metrics, risk anticipation/mitigation and resource needs for programs and product cycles. 

  • Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation. 

  • Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs. 

  • Foster a culture of collaboration, continuous improvement, and growth. 

  • Own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. 

  • Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for quality and efficiency within the team. 

  • Work closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. 

  • Advance the AI frontier responsibly. 

  • Embody Microsoft’s culture and values. 



Qualifications

Required Qualifications 

  • Experience developing AI/ML models — including working with data, training models, and evaluating model quality.
  • Experience leading complex technical programs end‑to‑end — planning work, managing timelines, milestones, and risks.
  • Experience working closely with engineers, researchers, and product teams to deliver technical outcomes.
  • Experience using data and metrics to track progress, spot issues early, and guide decisions.

Microsoft will accept applications and process offers for these roles on an ongoing basis. 

#MicrosoftAI #MAI #TechnicalProgramManager #AIJobs #Copilot 

 


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, AI Multimodal – MAI Superintelligence Team Member of Technical Staff, AI Multimodal – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200017243-en-2
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. 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


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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, AI Post-Training – MAI Superintelligence Team Post-Training – Member of Technical Staff, AI Post-Training – MAI Superintelligence Team Post-Training –

Location
London, United Kingdom
Job Number
200017247-en-3
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. 
 
The AI PostTraining team at Microsoft AI is responsible for all aspects of posttraining 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. 


Qualifications
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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, AI Post-Training – MAI Superintelligence Team Post-Training – Member of Technical Staff, AI Post-Training – MAI Superintelligence Team Post-Training –

Location
London, United Kingdom
Job Number
200017247-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. 
 
The AI PostTraining team at Microsoft AI is responsible for all aspects of posttraining 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. 


Qualifications
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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, AI Multimodal – MAI Superintelligence Team Member of Technical Staff, AI Multimodal – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200017243-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. 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


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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, AI Multimodal – MAI Superintelligence Team Member of Technical Staff, AI Multimodal – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200017246-en-3
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. 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


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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, Data Research Engineer – MAI Superintelligence Team Member of Technical Staff, Data Research Engineer – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200007161-en-3
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, Data Research Engineer – MAI Superintelligence Team Member of Technical Staff, Data Research Engineer – MAI Superintelligence Team

Location
London, United Kingdom
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200007161-en-1
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Microsoft Superintelligence
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Discipline
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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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff, Hardware Health – MAI Superintelligence Team Member of Technical Staff, Hardware Health – MAI Superintelligence Team

Location
London, United Kingdom
Job Number
200007174-en-1
City
London
Team
Microsoft Superintelligence
Country
United Kingdom
Discipline
Software Engineering
Overview

 

Microsoft AI operates one of the world’s most advanced AI training infrastructures, featuring multi-gigawatt clusters spanning tens of thousands of high-performance GPUs, ultra-low-latency NVLink/NVSwitch networks, and innovative liquid-cooling systems. Our team is seeking a Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments. 

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. 

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond. 

 

Microsoft Superintelligence Team
Microsoft Superintelligence team’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.This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!   

 

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
  • Advanced ROCE transport design, congestion control, ECN/WRED/DCTCP tuning 

  • Fabric architecture, topology planning, network modeling, and scaling strategy 

  • Telemetry, observability, reliability engineering, and automated troubleshooting 

  • Develop and tune the deployment of novel routing techniques to achieve reliability in large networks 

  • Work with world class network designers like NVIDIA, Broadcom, and in-house silicon/network co-design teams 

  • AI training + inference cluster bring-up, performance benchmarking, and root-cause analysis 

  • Gather data and insights to develop the pretraining compute roadmap

  • 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



Qualifications

Required Minimum 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.
 
Additional 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, C, C++, C#, Java, JavaScript, or Python 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, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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English (United States)
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