Redmond, United States

Senior Software Engineer Senior Software Engineer

Location
Redmond, United States
Job Number
200030062-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Senior Software Engineer. 

This role is available in Redmond, WA.

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you. 

As part of our team, you’ll: 

  • Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
  • Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
  • Work on cutting-edge technologies in distributed systems, machine learning, and big data. 

Why join us? 

  • Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
  • You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
  • Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business impact. 

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
  • Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
  • Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
  • Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
  • Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
  • Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.


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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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.
  • Experience in Azure. 
  • Experience in Machine learning and online system design, implementation and qualification. 
  • 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.


#MicrosoftAI #BingAds



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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200010286-en-1
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Overview

Join our innovative and fast-paced team within Bing Ads, where we are making impactful advancements in the advertising industry. Our recent achievements have driven significant revenue growth, and we’re seeking driven individuals to help us sustain this momentum. In our team, you’ll work on cutting-edge products for Ad Quality and Publishers monetization, focusing on enhancing user experience, building scalable reporting solutions for publishers, working with distributed systems, and delivering top-quality ads.

As a Senior Software Engineer on our team, you will play a crucial role in building solutions for publisher onboarding, ensure publisher quality verification, and provide comprehensive revenue and quality reports. Additionally, you’ll work to deliver top-quality ads to our publishers. This role offers a unique opportunity to accelerate your career growth, deepen your business acumen, and sharpen your technical skills. You’ll be part of a remote team, giving you the flexibility to work from home and manage your schedule efficiently.

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
  • Works with appropriate stakeholders to determine user requirements for a set of features.
  • Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
  • Creates and implements code for a product, service, or feature, reusing code as applicable.
  • Contributes to efforts to break down larger work items into smaller work items and provides estimation.
  • Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
  • Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.


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#, Java, JavaScript, or Python
    • OR equivalent experience.

Additional or 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#, 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#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Advanced React (TypeScript, hooks, Fluent UI), Redux Toolkit, and modular frontend architecture.
  • Experience configuring and optimizing Webpack and Babel for modern JavaScript/TypeScript applications.
  • Strong testing skills (Jest, React Testing Library), code quality (ESLint, Prettier), and documentation.
  • Experience with monorepo tools (Lerna, Nx), API integration, and performance/accessibility best practices.
  • Proficiency in Docker, Kubernetes, and Azure DevOps (YAML pipelines, CI/CD automation).
  • Solid understanding of cloud deployment, release management, and infrastructure scripting (Bash, YAML).
  • Proven ability to lead technical design, mentor team members, and drive architectural decisions.
  • Experience optimizing large-scale systems for reliability, scalability, and maintainability.

#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.

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Senior Software Engineer Senior Software Engineer

Location
Redmond, United States
Job Number
200010286-en-2
City
Redmond
Team
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Discipline
Software Engineering
Overview

Join our innovative and fast-paced team within Bing Ads, where we are making impactful advancements in the advertising industry. Our recent achievements have driven significant revenue growth, and we’re seeking driven individuals to help us sustain this momentum. In our team, you’ll work on cutting-edge products for Ad Quality and Publishers monetization, focusing on enhancing user experience, building scalable reporting solutions for publishers, working with distributed systems, and delivering top-quality ads.

As a Senior Software Engineer on our team, you will play a crucial role in building solutions for publisher onboarding, ensure publisher quality verification, and provide comprehensive revenue and quality reports. Additionally, you’ll work to deliver top-quality ads to our publishers. This role offers a unique opportunity to accelerate your career growth, deepen your business acumen, and sharpen your technical skills. You’ll be part of a remote team, giving you the flexibility to work from home and manage your schedule efficiently.

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
  • Works with appropriate stakeholders to determine user requirements for a set of features.
  • Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
  • Creates and implements code for a product, service, or feature, reusing code as applicable.
  • Contributes to efforts to break down larger work items into smaller work items and provides estimation.
  • Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
  • Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.


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#, Java, JavaScript, or Python
    • OR equivalent experience.

Additional or 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#, 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#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Advanced React (TypeScript, hooks, Fluent UI), Redux Toolkit, and modular frontend architecture.
  • Experience configuring and optimizing Webpack and Babel for modern JavaScript/TypeScript applications.
  • Strong testing skills (Jest, React Testing Library), code quality (ESLint, Prettier), and documentation.
  • Experience with monorepo tools (Lerna, Nx), API integration, and performance/accessibility best practices.
  • Proficiency in Docker, Kubernetes, and Azure DevOps (YAML pipelines, CI/CD automation).
  • Solid understanding of cloud deployment, release management, and infrastructure scripting (Bash, YAML).
  • Proven ability to lead technical design, mentor team members, and drive architectural decisions.
  • Experience optimizing large-scale systems for reliability, scalability, and maintainability.

#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.

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MTS – Platform Engineer (Tools) MTS – Platform Engineer (Tools)

Location
Redmond, United States
Job Number
200010882-en-1
City
Redmond
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

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. Join us in building the foundation for the next generation of AI. 

The Platform Engineering team is responsible for designing and optimizing AI Agents that can reason, plan, and take action autonomously. we build robust orchestration layers that coordinate complex multi-model and multi-service workflows with reliability and scale. We push the boundaries of inference performance, driving low-latency, high-quality model execution across production workloads. As a Member of Technical Staff, Platform Tools, you’ll design and deliver the primitives that power Copilot and other AI-powered experiences. These building blocks form the backbone of secure, scalable, and reliable workflows that product teams use to craft robust and seamless user experiences. From tool orchestration to performance optimization, you’ll deliver fast, secure, and dependable execution that turns Copilot into a true productivity engine.

Your work will make it possible for agents to call APIs, services, and workflows securely, efficiently, and with high success rates – ensuring Copilot doesn’t just answer questions but gets things done.

Ideal candidates have backend or ML systems expertise who thrive at the intersection of product and inference. You take ownership, tackle hard problems, and build the connective systems that make AI products fast, reliable, and scalable- collaborating with teams to deliver high-impact platforms that power real-world workflows.

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 secure and performant AI platform services that power Copilot
  • Collaborate with engineers and AI researchers to design scalable, reliable, and maintainable systems.
  • Deliver production-quality code iteratively and efficiently, overcoming roadblocks to get features into users’ hands.
  • 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 or related technical discipline and 4+ years of technical engineering experience, or equivalent experience.

 

Preferred Qualifications

  • Bachelor’s degree in Computer Science or related technical discipline and 6+ years of technical engineering experience, or equivalent experience.
  • Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust.
  • Strong collaborator with proven ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and work effectively with cross-functional teams.
  • Skilled at designing and operating reliable, high-performance systems, identifying and resolving complex technical issues, and writing clean, maintainable, and secure code.
  • Adaptable, proactive, and passionate about learning new technologies, thriving in fast-paced environments, and contributing to an inclusive, high-impact team culture.
  • Hands-on experience with AI platforms, machine learning frameworks, and APIs, including developing, deploying, and scaling language models.


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

Location
Mountain View, United States
Job Number
200028652-en-1
City
Mountain View
Team
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Country
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Discipline
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Overview

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to  build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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
  • Design, develop and maintain large-scale multimodal data processing pipelines. 

  • Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. 

  • Design, develop and maintain large-scale multimodal model inference and serving frameworks. 

  • Work with research scientists and product engineers to solve infra-related problems.   

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

  • Enjoy working in a fast-paced, design-driven, product development cycle.  



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, or related technical discipline 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:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience
  • Experience in multi-modal data processing:
    • Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
    • Experience with state-of-art model inference and serving frameworks
    • Experience with image/video/audio data processing
    • Experience with common data formats for efficient I/O 
  • Experience in multi-modal pretraining and post-training:
    • Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
    • Knowledge of auto-regressive and diffusion transformer models
    • Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
    • Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
  • Experience in multi-modal inference and serving:
    • Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
    • Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
    • Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
    • Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
    • Experience in leading technical projects and supporting architectural decisions with data

 



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 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, Multimodal Infrastructure – MAI Superintelligence Team Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team

Location
Redmond, United States
Job Number
200028652-en-2
City
Redmond
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to  build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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
  • Design, develop and maintain large-scale multimodal data processing pipelines. 

  • Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. 

  • Design, develop and maintain large-scale multimodal model inference and serving frameworks. 

  • Work with research scientists and product engineers to solve infra-related problems.   

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

  • Enjoy working in a fast-paced, design-driven, product development cycle.  



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, or related technical discipline 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:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience
  • Experience in multi-modal data processing:
    • Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
    • Experience with state-of-art model inference and serving frameworks
    • Experience with image/video/audio data processing
    • Experience with common data formats for efficient I/O 
  • Experience in multi-modal pretraining and post-training:
    • Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
    • Knowledge of auto-regressive and diffusion transformer models
    • Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
    • Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
  • Experience in multi-modal inference and serving:
    • Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
    • Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
    • Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
    • Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
    • Experience in leading technical projects and supporting architectural decisions with data

 



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 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, Multimodal Infrastructure – MAI Superintelligence Team Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team

Location
New York, United States
Job Number
200028652-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to  build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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
  • Design, develop and maintain large-scale multimodal data processing pipelines. 

  • Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. 

  • Design, develop and maintain large-scale multimodal model inference and serving frameworks. 

  • Work with research scientists and product engineers to solve infra-related problems.   

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

  • Enjoy working in a fast-paced, design-driven, product development cycle.  



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, or related technical discipline 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:

  • Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience
  • Experience in multi-modal data processing:
    • Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
    • Experience with state-of-art model inference and serving frameworks
    • Experience with image/video/audio data processing
    • Experience with common data formats for efficient I/O 
  • Experience in multi-modal pretraining and post-training:
    • Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
    • Knowledge of auto-regressive and diffusion transformer models
    • Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
    • Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
  • Experience in multi-modal inference and serving:
    • Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
    • Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
    • Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
    • Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
    • Experience in leading technical projects and supporting architectural decisions with data

 



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 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 – Prompt Engineer Member of Technical Staff – Prompt Engineer

Location
Mountain View, United States
Job Number
200024030-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

Empower Every Learner. Shape the Future of Education with Microsoft AI. Hello future teammate! We’re on quite the bold mission; we’re building an AI companion that’s truly empathetic, kind, and equal partners to our users. This isn’t an assistant—it’s a thoughtful collaborator that grows alongside the people they serve. We believe AI should elevate human potential through genuine connection and mutual understanding.

You’ll join our small team as a Prompt Engineer, the architect of these relationships. You’ll craft the foundations that enable meaningful human-AI partnerships. You’ll shape how our companions think, respond, and evolve through language—if you’ll allow slight anthropomorphization, teach them how to be their best selves. You’re somewhat of a designer, somewhat of an engineer, and somewhat of a mad scientist. You’ll work intimately with the design and leadership team—because this is the product!—you’re designing the core of the experience.

This isn’t just engineering—it’s a profound exploration of what connection can mean in the age of artificial intelligence. No big deal. Just another Tuesday.

What we are looking for

  • Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes
  • A novel prompting discovery: a really interesting challenge that you’ve solved in a creative way
  • Scaled implementation: you’ve shipping prompted systems that work reliably at production scale with diverse user populations
  • Evaluation design: you’ve built robust testing frameworks to measure AI behavior against goals
  • User-centric approach: proven understanding of how prompting decisions impact the lived experience of people who interact with AI
  • A wonderful writer who loves words, storytelling, or linguistics.
  • Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences
  • Comfort with ambiguity in an exponentially growing space
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.
 

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.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
  • Design & develop prompting techniques for emotional and intellectual use cases
  • Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care
  • Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ
  • Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team
  • Research & implement novel prompting techniques
  • Embody our culture and values.


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.

Additional or 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.
  • 2+ years of experience with large language models
  • 2+ years of experience working as a prompt engineer or similar field
  • A non-traditional background: philosophy, linguistics, psychology, therapy, or literature.
  • An understanding of conversation design or product design.
  • Familiarity with both quantitative metrics and qualitative assessment methods.
  • Experience with personalization systems that adapt to individual user needs.
  • Adversarial prompting experience or conducted some unhinged experiments.
  • Ethical experience with demonstrated social impact.


Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


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




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Principal Software Engineer Principal Software Engineer

Location
Redmond, United States
Job Number
200029541-en-1
City
Redmond
Team
Browser
Country
United States
Discipline
Software Engineering
Overview

At Microsoft Edge, performance defines the user experience. We are looking for a Principal Software Engineer to help shape the future of browser performance across real‑world scenarios—navigating websites, interacting with content, scrolling pages, and responding instantly to user input. In this role, you will own performance outcomes for major browser subsystems and help ensure Edge feels fast, responsive, and reliable for millions of users every day.

You will lead the design and evolution of systems that make performance durable as the product grows. This includes setting architectural direction, modernizing legacy implementations, and establishing clear performance patterns so new features ship with performance built in—not added later. You will work hands‑on in the codebase, using real user signals, traces, and data to understand where time is spent and to drive deep improvements in navigation, input responsiveness, startup, and ongoing interaction quality.

Your impact will scale through systems and influence. You will advance performance tooling, automation, and AI‑assisted diagnostics to help teams detect, understand, and prevent performance issues before they reach customers. Partnering closely with feature teams, you will help make performance a first‑class design constraint across Edge. Success in this role is measured by sustained improvements in real user experiences—faster interactions, smoother input, fewer recurring regressions, and a higher performance bar across the organization.

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
  • Own performance outcomes for Microsoft Edge user scenarios including site navigation, scrolling, input responsiveness, and startup.
  • Lead architectural evolution to ensure browser performance remains durable as Edge scales and evolves.
  • Drive data‑informed performance improvements using real‑world telemetry, traces, and experiments.
  • Modernize legacy implementations and establish clear performance‑focused coding patterns and quality bars.
  • Partner with feature teams to make performance a first‑class design constraint from concept to ship.
  • Scale impact through performance tooling, automation, and AI‑assisted diagnostics to prevent regressions.


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++, Rust, 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++, Rust, 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++, Rust, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 3+ years experience designing and shipping performance-critical, large-scale software with measurable user impact (e.g., navigation, scrolling, input responsiveness, startup).
  • Proven ability to drive architectural changes and modernize complex/legacy codebases to improve performance, reliability, and maintainability.
  • Ability to scale impact through performance tooling/automation (including AI-assisted diagnostics/analysis) and to influence technical direction through reviews and cross-team collaboration.


#MicrosoftAI #microsoftedge



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.

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Senior Software Engineer Senior Software Engineer

Location
Redmond, United States
Job Number
200019711-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

Overview 

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Senior Software Engineer. 

This role is available in Redmond, WA 

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you. 

As part of our team, you’ll: 

  • Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
  • Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
  • Work on cutting-edge technologies in distributed systems, machine learning, and big data. 

Why join us? 

  • Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
  • You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
  • Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business impact. 

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
  • Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
  • Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
  • Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
  • Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
  • Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 2+ 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 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience in Azure. 
  • Experience in Machine learning and online system design, implementation and qualification. 
  • 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.


#MicrosoftAI #BingAds



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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English (United States)
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