Required Qualifications:

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 5+ years of working experience in NLP/search related areas.
• Good experience in LLM post-train, finetuning.
• Experience in RAG system.
• Solid problem-solving skills, and ability to work independently.

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 Qualifications:

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 5+ years of working experience in NLP/search related areas.
• Good experience in LLM post-train, finetuning.
• Experience in RAG system.
• Solid problem-solving skills, and ability to work independently.

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.

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 Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra.

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 expertise and pay close attention to details

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

Effectively manage multiple responsibilities and can adjust to shifting priorities.

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

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.

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! 

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

Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.

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.

Embody our culture and values.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years 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 4+ year(s) experience in business analytics, data science, software development, or data engineering work
• OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years 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 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
• OR equivalent experience.

Data 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

Data 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

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.

Join Microsoft AI in building one of the world’s most advanced foundation models. Our mission is to push the boundaries of scale, performance, and deployment, creating frontier AI systems that power transformative experiences across Microsoft.

The Multimodal team tackles some of the most challenging problems in deep learning at scale. Our work forms the backbone of initiatives across Microsoft AI, enabling breakthroughs that shape the future of AI.

What We’re Looking For

We seek exceptional individuals who:

• Bring proven expertise, demonstrated through impactful publications or technical leadership on high-scale projects.
• Possess strong analytical skills, attention to detail, and a data-driven approach to decision-making.
• Have experience with large-scale distributed systems and scalable architectures.
• Thrive in fast-paced, collaborative environments and embrace innovation.

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.

• 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 AI, Computer Science, Data Science, Statistics, Physics, Engineering, 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: 

• Master’s Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline 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 AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline 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.

• Experience with large-scale AI systems — design and deployment of distributed architectures, multimodal or conversational models; proficiency with ML frameworks (e.g., PyTorch, TensorFlow) and cloud/HPC environments (e.g., Azure).
• Expertise in data engineering for foundation models — multimodal dataset design, curation, annotation pipelines, quality evaluation, bias detection, and understanding of privacy, compliance, and Responsible AI principles.
• Background in LLM interaction and deployment — practical work in prompt engineering, safety-aligned evaluation, and integration of conversational AI into production systems.
• Cross-functional collaboration and communication — ability to produce clear technical documentation, partner with engineering, product, and design teams, and contribute to knowledge sharing; demonstrated application of emerging AI technologies and best practices.

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

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

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.

Join Microsoft AI in building one of the world’s most advanced foundation models. Our mission is to push the boundaries of scale, performance, and deployment, creating frontier AI systems that power transformative experiences across Microsoft.

The Multimodal team tackles some of the most challenging problems in deep learning at scale. Our work forms the backbone of initiatives across Microsoft AI, enabling breakthroughs that shape the future of AI.

What We’re Looking For

We seek exceptional individuals who:

• Bring proven expertise, demonstrated through impactful publications or technical leadership on high-scale projects.
• Possess strong analytical skills, attention to detail, and a data-driven approach to decision-making.
• Have experience with large-scale distributed systems and scalable architectures.
• Thrive in fast-paced, collaborative environments and embrace innovation.

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.

• 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 AI, Computer Science, Data Science, Statistics, Physics, Engineering, 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: 

• Master’s Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline 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 AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline 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.

• Experience with large-scale AI systems — design and deployment of distributed architectures, multimodal or conversational models; proficiency with ML frameworks (e.g., PyTorch, TensorFlow) and cloud/HPC environments (e.g., Azure).
• Expertise in data engineering for foundation models — multimodal dataset design, curation, annotation pipelines, quality evaluation, bias detection, and understanding of privacy, compliance, and Responsible AI principles.
• Background in LLM interaction and deployment — practical work in prompt engineering, safety-aligned evaluation, and integration of conversational AI into production systems.
• Cross-functional collaboration and communication — ability to produce clear technical documentation, partner with engineering, product, and design teams, and contribute to knowledge sharing; demonstrated application of emerging AI technologies and best practices.

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

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

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

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

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

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

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

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

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 built data collection or evaluation pipelines for pre-training or post-training AI models 
• Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models 
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment 
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area 
• Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.

• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. 
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. 
• Create model prototypes to prove out new feature directions and scope projects. 
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Foster a culture of collaboration, continuous improvement, and growth. 
• Advance the AI frontier responsibly  

• Bachelor’s Degree AND proven experience in product/service/program management or software development OR equivalent experience. 
• Direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally. 

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 built data collection or evaluation pipelines for pre-training or post-training AI models 
• Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models 
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment 
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area 
• Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.

• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. 
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. 
• Create model prototypes to prove out new feature directions and scope projects. 
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback 
• Foster a culture of collaboration, continuous improvement, and growth. 
• Advance the AI frontier responsibly  

• Bachelor’s Degree AND proven experience in product/service/program management or software development OR equivalent experience. 
• Direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally. 

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.

• Are passionate about advancing the state of post-training research;
• Have experience with reward modeling, RL, or other post-training techniques; 
• Will thrive in a highly collaborative, fast-paced environment; 
• Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence.;
• Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects

• Develop data collection, evaluation, and post-training methods for models. 
• Design hypotheses and experiment plans for rapidly iterating on model performance.  

• Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, 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.  
• Have experience with reward modeling, RL, or other post-training techniques.

• 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 Master’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.  
• 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 $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

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

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.