Overview
We are building the next generation of intelligent consumer devices, combining advanced hardware, connectivity, and AI to create seamless everyday experiences. Our team brings together specialists in acoustics, sensing, and system design, united by the goal of pushing the boundaries of what small, low-power devices can achieve. As a firmware engineer on our team, you will play a key role in enabling real-time intelligence on resource-constrained hardware. Your work will involve designing and optimizing embedded systems, integrating sensors and connectivity modules, and ensuring ultra-low-power performance without compromising user experience. You will collaborate closely with cross-disciplinary experts in hardware, software, and AI to bring innovative ideas from prototype to product. 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.

Responsibilities

• You’ll ensure wake word recognition is implemented and optimized at the firmware level for responsive on-device AI.

• You’ll develop and maintain firmware support for Bluetooth and Wi-Fi modules, enabling seamless device connectivity.

• You’ll handle real-time processing of audio and visual data, optimizing performance and power efficiency on embedded hardware.

• You’ll help implement high-performance solutions across teams while maintaining a quality checklist with help from other engineers.

• You’ll also monitor telemetry data and perform basic analyses under guidance to triangulate failures.

• You will respond to incidents by identifying the level of impact, troubleshooting basic issues, and deploying appropriate fixes.

• You’ll also develop an understanding of prescriptive guidance for security, privacy, and compliance standards.

• You will share information across disciplines within your feature team.

• You’ll also support your work with others by managing dependencies and actively seeking out essential information.

• You will improve the development and operations of systems, platforms, or product features by actively seeking to develop an understanding of key learnings, insights, and best practices. You’ll do this by participating in design reviews, incident drills and debriefs, and regular meetings.

Qualifications

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 5+ years technical engineering experience

  OR Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience

 OR Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 1+ year(s) technical engineering experience o OR equivalent experience.

• Strong experience developing embedded firmware on SoCs from Realtek, BES, Qualcomm, or similar platforms, with deep understanding of low-power and real-time constraints.

• Proven experience in firmware development for wearable devices such as smart glasses or TWS earbuds, including audio, sensor, and connectivity modules.   

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

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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.

Overview
We are seeking an Applied Scientist / AI Architect with strong hands-on experience in building and optimizing large language models (LLMs), agentic AI systems, and end-to-end model training workflows. This role is ideal for scientists with a solid applied background who can translate state-of-the-art research into real-world impact. A research-oriented mindset with publications in top AI/ML venues is highly preferred but not strictly required. Our mission is to innovate in collaborative office area by exploring LLM and agentic AI. You will collaborate closely with product, engineering, and research teams to ship intelligent, reliable, and innovative AI capabilities at scale.

Responsibilities

• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.

• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.

• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.

• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.

• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.

Qualifications

• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.

• 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.

• Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.

• Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.

• Solid publication record (e.g., NeurIPS, ICLR, ACL, ICML, EMNLP) is a plus, but emphasis is placed on practical contributions.

• Strong coding and debugging skills, and comfort working in cross-functional, agile environments.

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

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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.

Overview
We are seeking brilliant and passionate engineers to work with us on the most interesting and challenging problems of AI Infrastructure development. We are a team focusing on large language model optimization, and we are at the forefront of driving innovation in large-scale AI infrastructure. You will be instrumental in designing and implementing the high-performance, massively scalable infrastructure required to deploy frontier LLM models through innovative GPU kernel, compression, scheduling and parallelization optimizations, directly contributing to groundbreaking advancements in the field. This role is not just about maintaining systems; it’s about architecting the future. If you are passionate about AI systems, low-level performance optimization, and solving hard cross-discipline engineering problems, we invite you to join us and help shape the future of AI at Microsoft. This is your opportunity to make a defining impact.

Responsibilities

– Keep up to date with and utilize the latest developments in LLM system optimization.

– Discover/solve impactful technical problems, advance state-of-the-art LLM technologies, and translate ideas into production.

– Optimize LLM inference workloads through innovative kernel, algorithm, scheduling, and parallelization technologies.

– Continuously maintain internal LLM inference infrastructure.

Qualifications

– A bachelor’s degree or higher in computer science, engineering, or a related field, PhD is preferred

– Strong programming skills in Python and C/C++

– 2+ years of experience in machine learning system development and optimization

Preferred Qualifications:

– 2+ years of experience in CUDA kernel development and optimization

– Experience in optimizing communication layer / kernels for deep learning systems

– Experience in machine learning model compression

– Experience on different hardware such as both NVIDIA and AMD GPUs is a plus – A growth mindset and a passion for learning new things 

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

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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.

Overview
As Microsoft continues to push the boundaries of AI, we are seeking brilliant and passionate engineers to work with us on the most interesting and challenging problems of AI Infrastructure development. We are a team focusing on large language model optimization, and we are at the forefront of driving innovation in large-scale AI infrastructure. You will be instrumental in designing and implementing the high-performance, massively scalable infrastructure required to deploy frontier LLM models through innovative GPU kernel, compression, scheduling and parallelization optimizations, directly contributing to groundbreaking advancements in the field. This role is not just about maintaining systems; it’s about architecting the future. If you are passionate about AI systems, low-level performance optimization, and solving hard cross-discipline engineering problems, we invite you to join us and help shape the future of AI at Microsoft. This is your opportunity to make a defining impact.

Responsibilities

– Keep up to date with and utilize the latest developments in LLM system optimization.

– Take the lead in designing innovative system optimization solutions for internal LLM workloads.

– Optimize LLM inference workloads through innovative kernel, algorithm, scheduling, and parallelization technologies.

– Continuously develop and maintain internal LLM inference infrastructure. – Discover new LLM system optimization needs and innovations.

Qualifications

– A bachelor’s degree or higher in computer science, engineering, or a related field, PhD is preferred

– Strong programming skills in Python and C/C++- 5+ years of experience in machine learning system development and optimization

Preferred Qualifications:

– 5+ years of experience in CUDA kernel development and optimization

– Experience in optimizing communication layer / kernels for deep learning systems

– Experience in machine learning model compression – Experience on different hardware such as both NVIDIA and AMD GPUs is a plus

– A growth mindset and a passion for learning new things

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

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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.

Overview

Microsoft is aggressively advancing its position in the digital advertising market by building a state-of-the-art online advertising platform and services. Our team is at the forefront of the innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation. We are seeking passionate scientists and engineers to join this world-class team, solve challenging problems, and deliver products that provide value to hundreds of millions of users and advertisers, driving direct, measurable impact on our global business.

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


Qualifications

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years of industry experience with a focus on computer vison, image/video generation and editing.
• Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.).
• Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.
• Proactive communication skills, with the ability to collaborate effectively across algo, product and engineer teams.

 

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 5+ years of industry experience with a focus on computer vison, image/video generation and editing.

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

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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.

Overview

In Feeds and AI team, we’re building Microsoft Start, a content powerhouse for every person on the planet to be informed, entertained, and inspired. Microsoft Start is the place for all to read, watch, listen, create, connect with people of shared interests, and experience wonders in the world.   

We are looking for a skilled and experienced Senior Applied Scientist to join our ranking foundation team. As a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals.  

Responsibilities

• Algorithm Development and Enhancement for ranking algorithms in News & Feeds
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement.
• Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques.  
• Innovation in the area of advanced AI solution, and recommender system.
• Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems.
• Build systemic solutions and models to optimize user experience. 

Qualifications

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 
• Minimum of 3 years of professional experience in recommender systems, search engines, or online advertising, with strong expertise in machine learning algorithms, generative AI and large language models (LLMs), statistics, and data mining techniques applied to personalization.
• Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments. Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences.
• Proficient in Python programming, with additional experience in languages such as C# or C++ considered a plus. 

Additional or preferred qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 

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

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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.

Overview


Responsibilities


Qualifications

Required Qualifications:

Preferred Qualifications:

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

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

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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.

Overview


Responsibilities


Qualifications

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

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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.

Overview

MAI Ads team in Microsoft APRD is responsible for providing the advertising industry with the state-of-the-art online advertising platform and service. Our team is at the core of this effort, working on the following research & development: Selection(recall), Relevance, User Response Prediction (Click Prediction and Conversion prediction), Autobidding, Large Language Model and Large Scale Machine Learning Training & Serving System. The team is a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-quality products and services that can help hundreds of millions of users and advertisers, and directly impact our business.

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


Qualifications

Preferred Qualifications:

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

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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.

Overview


Responsibilities

• Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection.
• Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities.
• Design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations.
• Lead experimentation and A/B testing programs to evaluate pricing, matching, and prediction models, driving performance improvements.
• Develop scalable data products, pipelines, and automated reporting systems to support analytics and machine learning initiatives.
• Build self-service dashboards and tools that enable cross-functional teams to make data-informed decisions.
• Partner with stakeholders to translate business needs into actionable insights, influence product strategy, and present recommendations to senior leadership.

Qualifications

• 5+ years of professional experience using analytics to solve product or business problems in data science, applied research, or related roles
• 3+ years of experience in the digital advertising, e-commerce, marketplace, or online platform industry
• Demonstrated track record of driving measurable business impact through data science initiatives
• Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). 
• Experience with cloud platforms (Azure preferred) and big data technologies. 
• Solid understanding of statistical modeling, predictive analytics, and experimentation design. 
• Excellent communication and stakeholder management skills. 
• Proficient English communication oral or in written. 

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• Deep understanding of online advertising ecosystem including DSPs, SSPs, ad exchanges, ad networks, and programmatic buying.
• Knowledge of auction theory and mechanism design principles.
• Experience with RTB (Real-Time Bidding) and programmatic advertising dynamics.
• Understanding of two-sided marketplace economics and platform effects.
• Familiarity with ad serving infrastructure and latency considerations.

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

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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.