Skip to main content

New York, United States

Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot

Location
New York, United States
Job Number
200015323-en-2
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.     

Microsoft AI (MS AI) is seeking a experienced Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.  The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.     

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
  • Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.
  • Ship high-quality, well-tested, secure, and maintainable code.  
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  
  • Enjoy working in a fast-paced, design-driven, product development cycle.
  • Embody ourCultureandValues.   
  • Ability to manage a small team of 4 or 5 senior data engineers, talent management experiences. Additionally the candidate will have experiences owning engineering and operational excellence for data platform which includes PR reviews, code quality, engineering productivity, etc. 


Qualifications

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+ years experience in business analytics, data science, software development, or data engineering work
    • OR equivalent experience. 
Preferred Qualifications:
  • 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.  
  • Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 
  • 3+ years experience with data governance, data compliance and/or data security.
  • 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  
  • 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.   
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.  
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.  
  • Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.  
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  


Software Engineering M5 – 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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Principal Software Engineer – Copilot Security Principal Software Engineer – Copilot Security

Location
New York, United States
Job Number
200008330-en-2
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally. 

Copilot for consumers is entering a new era of agentic AI—where intelligent agents act on behalf of users across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. 

Why This Role Matters:

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios—making a global impact on Microsoft’s most transformative products.

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 and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. 
  • Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. 
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. 
  • Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI. 
  • Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement. 
  • Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios. 
  • Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions. 
  • Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers. 


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

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.
  • 8+ years in technical engineering roles building large-scale services. 
  • 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. 
  • Proven ability to design, build, and ship agentic AI features or frameworks 
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. 
  • Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns 
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments 
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming 
  • Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview). 
  • Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI



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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Account Manager Account Manager

Location
New York, United States
Job Number
200023411-en-2
City
New York
Team
Microsoft Advertising
Country
United States
Discipline
Advertising Client Success
Overview

Microsoft Advertising (MSA) empowers the largest advertisers around the world to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking top performing Account Executives with digital advertising experience who can drive revenue and increase customer satisfaction by developing and cultivating strategic client relationships and delivering customized solutions aligning to the client’s advertising needs. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

As an Account Manager (AM), you will enable Microsoft to better serve clients by applying obsession with what clients care about and need, ensuring our Microsoft Advertising story is valued and understood, and building and maintaining soid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • You will plan with Purpose Through Client Planning as you will partner with the teams, including AEs, Specialist team to develop and execute MSA account plan, leveraging winning sales strategies replicated across clients and client types.​ 
  • You will learn about the client’s business drivers, compelling events, seasonality of business to identify opportunities to optimize consumption and partner with the Account Executive in development of sales plans for the client. Goals focus on Search and incubation product growth, as well as cross Microsoft opportunities and share accountability with the Account Executive and the team.
  • You will influence existing Digital Marketing Managers and Directors, Digital Buying Groups and always leads with insights and data and tailor content and messages about ways to grow and optimize campaigns to increase business results as you influence Stakeholders and Decision Makers by sharing data insights and product demonstrations, bring to life how MSA can increase business results.
  • You will optimize the existing book of client business to achieve sales targets and deliver excellent sales hygiene, consistently execute against pipeline, opportunity management, and revenue goals. Uses a solution selling mindset to identify across Microsoft opportunities that deliver end-to-end beneficial client outcomes as well as bring the best resources to overcome blockers and ensure success.
  • You will support the Account Executive in building a negotiation plan to ensure smooth closing and timely renewal of contracts.
  • You will maintain a positive approach during difficult objections & negotiations and ​demonstrate expertise in MSA’s features and incentives, including incubations products. Able to upsell and increase consumption of existing products, identify winning sales strategies, package them for efficiency and replicate them across similar client types.


Qualifications

Required Qualifications:

  • Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR Bachelor’s Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR equivalent experience.


Preferred Qualifications:

  • Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR Bachelor’s Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR equivalent experience.

#MicrosoftAI #MicrosoftAdvertising



Advertising Client Success IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Senior Account Manager Senior Account Manager

Location
New York, United States
Job Number
200024115-en-1
City
New York
Team
Microsoft Advertising
Country
United States
Discipline
Advertising Client Success
Overview

Microsoft Advertising (MSA) empowers the largest advertisers around the world to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking top performing Account Managers with digital advertising experience who can drive revenue and increase customer satisfaction by developing and cultivating strategic client relationships and delivering customized solutions aligning to the client’s advertising needs. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

As an Account Manager (AM), you will enable Microsoft to better serve clients by applying obsession with what clients care about and need, ensuring our Microsoft Advertising story is valued and understood, and building and maintaining soid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • You will plan with Purpose Through Client Planning as you will partner with the teams, including AEs, Specialist team to develop and execute MSA account plan, leveraging winning sales strategies replicated across clients and client types.​ 
  • You will learn about the client’s business drivers, compelling events, seasonality of business to identify opportunities to optimize consumption and partner with the Account Executive in development of sales plans for the client. Goals focus on Search and incubation product growth, as well as cross Microsoft opportunities and share accountability with the Account Executive and the team.
  • You will influence existing Digital Marketing Managers and Directors, Digital Buying Groups and always leads with insights and data and tailor content and messages about ways to grow and optimize campaigns to increase business results as you influence Stakeholders and Decision Makers by sharing data insights and product demonstrations, bring to life how MSA can increase business results.
  • You will optimize the existing book of client business to achieve sales targets and deliver excellent sales hygiene, consistently execute against pipeline, opportunity management, and revenue goals. Uses a solution selling mindset to identify across Microsoft opportunities that deliver end-to-end beneficial client outcomes as well as bring the best resources to overcome blockers and ensure success.
  • You will support the Account Executive in building a negotiation plan to ensure smooth closing and timely renewal of contracts.
  • You will maintain a positive approach during difficult objections & negotiations and ​demonstrate expertise in MSA’s features and incentives, including incubations products. Able to upsell and increase consumption of existing products, identify winning sales strategies, package them for efficiency and replicate them across similar client types.


Qualifications

Required Qualifications:

  • Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR Bachelor’s Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR equivalent experience.


Preferred Qualifications:

  • Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR Bachelor’s Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR equivalent experience.

#MicrosoftAI #MicrosoftAdvertising



Advertising Client Success IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Member of Technical Staff – Software Engineer & Machine Learning Member of Technical Staff – Software Engineer & Machine Learning

Location
New York, United States
Job Number
200014030-en-1
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview
As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.
 
We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
  • Develop secure, compliant workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
  • Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI 



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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Member of Technical Staff – Data Engineer Member of Technical Staff – Data Engineer

Location
New York, United States
Job Number
200010528-en-1
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Data Engineering
Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.     

Microsoft AI (MS AI) is seeking a experienced Member of Technical Staff – Data Engineer – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.  The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.     

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
  • Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. 
  • Ship high-quality, well-tested, secure, and maintainable code.  
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  
  • Enjoy working in a fast-paced, design-driven, product development cycle. 
  • Embody our Cultureand Values.   


Qualifications

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+ years experience in business analytics, data science, software development, or data engineering work
    • OR equivalent experience. 
Preferred Qualifications:
  • 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.  
  • Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 
  • 3+ years experience with data governance, data compliance and/or data security.
  • 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  
  • 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.   
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.  
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.  
  • Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.  
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  


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


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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Machine Learning Engineering Manager – AI Insights Machine Learning Engineering Manager – AI Insights

Location
New York, United States
Job Number
200007740-en-1
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview
As a Machine Learning Engineering Manager, you will work on developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. We’re looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.
  • Hav solid experience in ML systems, anomaly detection, and large-scale data processing.
  • Generalize machine learning (ML) solutions into repeatable frameworks.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Be hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

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.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Experience writing production-quality Python or Java code
  • Demonstrated interest in Responsible AI.

#MicrosoftAI



Software Engineering M5 – 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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Machine Learning Software Engineer Machine Learning Software Engineer

Location
New York, United States
Job Number
200008102-en-1
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview
As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
  • Develop secure, compliant workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
  • Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

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.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI



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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Principal Machine Learning Engineer Principal Machine Learning Engineer

Location
New York, United States
Job Number
200008111-en-1
City
New York
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview
As a Principal Machine Learning Engineer, you will work on the Data Labeling and classification on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines. We’re looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
  • Generalize machine learning (ML) solutions into repeatable frameworks.
  • Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
  • Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
  • Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:

  • 7+ years’ experience writing production-quality Python or Java or Scala code.
  • 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
  • 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
  • Demonstrated interest in Responsible AI.
  • Experience prompting, evaluating, and working with large language models.

#MicrosoftAI 



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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering

New York, United States

Small Medium Business (SMB) Demand Planner Small Medium Business (SMB) Demand Planner

Location
New York, United States
Job Number
200025781-en-4
City
New York
Team
Microsoft Advertising
Country
United States
Discipline
Customer Experience Program Mgmt
Overview

Microsoft Advertising is at the forefront of the digital advertising industry and empowers advertisers around the world to reach and expand their potential through our full-funnel digital marketing solutions.  Microsoft properties such as Edge, Bing, MSN, Copilot, and our 3P partner network offer advertisers access to target audiences.

We are seeking a SMB Demand Planner to join our team. This role delivers high quality advertiser demand for available audience supply and advertising product opportunities on the Microsoft Advertising Platform.  As a trusted advisor to field and operation teams, you will use analytical and collaborative skills to identify demand opportunities for acquisition and growth; share insights; drive programs and support prioritization.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Convert supply and product opportunity areas into demand priorities for the SMB segment. Done in collaboration with key stakeholders, and as part of overarching demand planning efforts.
  • Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service).  Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
  • Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
  • Problem solve and drives segment level correction of error efforts. Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams. Identify and propose incentive/ acceleration opportunities.
  • Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.

Preferred Qualifications:

  • Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.


#MicrosoftAI #Microsoftadvertising



Customer Experience Program Mgmt 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.

Similar jobs

Sr Account Executive(Advertising)

Beijing, China
Advertising Account Management

Principal Software Engineer

Bengaluru, India
Software Engineering

Member of Technical Staff, AI Product, Android Engineer

Mountain View, US
Software Engineering