Machine Learning Engineering Manager – AI Insights
Machine Learning Engineering Manager – AI Insights
- Location
- Job Number
- City
- Team
- Country
- Discipline
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
#mai-datainsights #mai-datainsights
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
Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
Backend Engineer
Machine Learning Engineering Manager – AI Insights
Machine Learning Engineering Manager – AI Insights
- Location
- Job Number
- City
- Team
- Country
- Discipline
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
#mai-datainsights #mai-datainsights
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
Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
Backend Engineer
Machine Learning Engineering Manager – AI Insights
Machine Learning Engineering Manager – AI Insights
- Location
- Job Number
- City
- Team
- Country
- Discipline
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
#mai-datainsights #mai-datainsights
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
Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
Backend Engineer
Member of Technical Staff – Software Engineer & Machine Learning
Member of Technical Staff – Software Engineer & Machine Learning
- Location
- Job Number
- City
- Team
- Country
- Discipline
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
#mai-datainsights #mai-datainsights
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.
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Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
Backend Engineer
Member of Technical Staff – Software Engineer & Machine Learning
Member of Technical Staff – Software Engineer & Machine Learning
- Location
- Job Number
- City
- Team
- Country
- Discipline
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
#mai-datainsights #mai-datainsights
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
Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
Backend Engineer
Member of Technical Staff – Software Engineer & Machine Learning
Member of Technical Staff – Software Engineer & Machine Learning
- Location
- Job Number
- City
- Team
- Country
- Discipline
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
#mai-datainsights #mai-datainsights
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.
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Member of Technical Staff, AI Product, Android Engineer
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Backend Engineer
Member of Technical Staff – Principal Data Infrastructure Engineer
Member of Technical Staff – Principal Data Infrastructure Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate 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.
We’re looking for a Member of Technical Staff – Principal Data Infrastructure Engineer. This role is a dynamic blend of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering, focused on enabling large-scale data and ML pipelines and intelligent systems. If you’ve architected big data platforms from the ground up and are eager to apply that expertise to consumer AI, we want to hear from you.
You’ll bring:
- Deep technical expertise
- A passion for automation and observability
- Fluency in distributed systems
- Creativity to design scalable solutions
- And just as importantly: empathy, collaboration, and a growth mindset
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
- Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications.
- Champion DevOps and SRE best practices—automated deployments, service monitoring, and incident response.
- Build a self-service big data platform that empowers data and platform engineers and researchers.
- Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM).
- Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure, seamless big data workflows.
- Lead technical design reviews and uphold a clean, secure, and well-documented codebase.
- Proactively identify and resolve bottlenecks in data pipelines and infrastructure.
- Optimize system performance across storage, compute, and analytics layers.
- Partner with Security teams to enhance system security (IAM, OAuth, Kerberos).
- Embody and promote Microsoft’s values: Respect, Integrity, Accountability, and Inclusion.
Qualifications
Required Qualifications:
- 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, data modeling, or data engineering
- OR 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
- OR equivalent experience.
Preferred Qualifications:
- 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
- 3+ years of hands-on experience managing and scaling distributed systems—from bare-metal to cloud-native environments.
- 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize.
- Solid scripting and automation skills using Python, Bash, or PowerShell.
- Proven success in CI/CD pipeline management, release automation, and production troubleshooting.
- Experience working with Databricks for scalable data processing and analytics.
- Familiarity with security practices in infrastructure environments, including IAM, OAuth, and Kerberos administration.
- Proven experience with cloud-native infrastructure across Azure, AWS, or GCP.
- Hands-on expertise with modern data platforms like Databricks, including:
- Deep understanding of data storage and processing technologies:
- Relational & NoSQL databases
- Key-value stores.
- Spark compute engines.
- Distributed file systems (e.g., HDFS, ADLS Gen2).
- Messaging systems (e.g., Event Hub, Kafka, RabbitMQ).
- Capacity planning and incident management for large-scale big data systems.
- Solid collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams.
- Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
- Exposure to agentic workflows, deep learning, or AI frameworks.
- Practical experience integrating LLMs (e.g., GPT-based models) into daily workflows—automating documentation, code generation, reviews, and operational intelligence.
- Solid grasp of prompt engineering techniques to design, optimize, and evaluate interactions with LLMs.
- Demonstrated ability to troubleshoot and resolve complex performance and scalability issues across infrastructure layers.
- Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning.
- Experience applying LLMs to DevOps workflows, enhancing incident response, and streamlining cross-functional collaboration is a solid advantage.
#MicrosoftAI
#mai-datainsights #mai-datainsights
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.
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Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
Backend Engineer
Member of Technical Staff – Data Engineer
Member of Technical Staff – Data Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
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 Culture and 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.
- 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.
#mai-datainsights #mai-datainsights
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.
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Member of Technical Staff – Data Engineer
Member of Technical Staff – Data Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
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 Culture and 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.
- 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.
#mai-datainsights #mai-datainsights
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.
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Member of Technical Staff – Data Engineer
Member of Technical Staff – Data Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
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 Culture and 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.
- 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.
#mai-datainsights #mai-datainsights
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.
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Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, AI Product, Android Engineer
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