• 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  

• 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. 

• · 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

• 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.

• 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. 

• 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. 

• 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.

• 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. 

• 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. 

• 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.

• 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

• 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

• 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.

• 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

• 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

• 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.

Required Minimum Qualifications

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.

Required Minimum Qualifications

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.

Required Minimum Qualifications

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.

• 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 

• 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. 

• · 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

• 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. 

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.

• 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 

• 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. 

• · 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

• 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. 

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.