Are you an experienced backend engineer with a passion for building large scale distributed systems to enable more innovations on the search, recommendation, and AI services and products. Are you passionate about working on drive and deliver the cutting-edge techniques such as LLM, AIGC by collaborating with AI data scientists? Bing IndexServe platform team have a Senior Software Engineer position to meet your technical expertise. 

Bing Fundamentals team focuses on providing a search and recommendation platform for Microsoft internal partners using the documentation recall and reranking backend service suite. As a team, we manage one of the world’s largest distributed systems and have experienced great success in building efficient large scale distributed systems for search. Bing Fundamentals has a per decade rare opportunity to simplify the serving stack, to serve the biggest index with the most efficient way, and to drive up the relevance innovations with advanced deep learning and large language model techniques. The agility of engineering and deployment also presents as a big challenge when handling such a complex system. As Bing embraces the latest LLM innovations, the need for a platform to build up AI intelligence is becoming bigger. 

Within Bing Fundamentals, we are the IndexServe reranking platform team and we have the exciting responsibility of trying to tackle these challenges. As a team, we are trying to build the most agile, performant, stable, experientable yet efficient index serving platform. On this platform, relevance techniques can be quickly implemented, iterated, qualified and flighted to evaluate their customer impacts with convenient while full-funnel debuggability. The same platform also provides all the cutting edged techniques and utilities, like deep learning, machine learning, LLM, JavaScript, C# rankers. It has the most advanced AI toolset for our scientists to innovate, and for our products to serve most relevant documents.

• Conduct timely code reviews to ensure standards, security, test coverage, and maintainability; provide feedback and coaching to improve team skills while leveraging automated tools and best practices.
• Design clear test strategies and architecture proposals that ensure scalability, performance, resiliency, and compliance; collaborate across teams to manage dependencies and validate security.
• Drive engineering excellence through automation, secure design principles, compliance processes, and continuous learning; apply best practices for coding, testing, and deployment.
• Plan and implement secure, efficient deployments with rollback strategies; monitor dependencies, follow safe change practices, and ensure disaster recovery readiness.
• Ensure reliability and supportability by integrating telemetry, responding to live-site issues, reducing incidents, and incorporating customer insights into future designs and solutions. 

• 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.
• 5+ years industrial experiences on an Object-Oriented Language, such as C++, C#, or Java
  

Additional or 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.

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

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Minimum of 2 years of hands-on experience designing and building search, retrieval, or ranking systems.
• Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
• Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.
• Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.

Preferred Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 4 years of hands-on experience designing and building search, retrieval, or ranking systems.
• Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL.
• Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).
• Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.

#MicrosoftAI 

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.

Microsoft AI Organization aims to the best user experience for Web Search, Advertisement, Cloud, and Enterprise services. The Search Experience Group in Microsoft AI has more than 400 scientists and engineers, working on various NLP/Multi-modal techniques and applications.
We’re looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web – the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especiallyBuild up the world-class AI systems with novel NLP techniques and engineering excellence.Explore cutting-edge AI technology and deliver both research and production 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.

• Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies (especially LLMs).
• Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications.
• Develop deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al.
• Push the envelope on deep learning by:
• Defining problems and establishing metrics
• Gathering training data at scale
• Exploring model design and architecture
• Exploring learning objectives and tasks.

Required Qualifications:

• Bachelor’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 Master’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 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.
• Experiences in applying deep learning, LLM, RAG techniques and drive E2E AI product development.
• 4+ years of working experience in NLP/search related areas.
• Passionate and self-motivated.
• Good communication skills, both verbal and written.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • 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.

#MicrosoftAI

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.

Online Advertising is one of the fastest‑growing businesses on the Internet. Microsoft Ads powers large‑scale deep learning workloads across Search, Recommendations, Click Prediction, and Relevance. Deep learning sits at the core of how Ads drives business performance and delivers high‑quality user experiences. We are building a unified, high‑performance GPU inference platform to serve all Ads deep learning models at extreme scale. This platform serves billions of requests daily, with strict requirements on latency, throughput, reliability, and cost.

We are seeking a Principal Software Engineer with deep expertise in GPU inference systems, kernel-level optimizations, and large‑scale distributed serving. You will be a senior technical leader driving the architecture, performance, and reliability of the next‑generation GPU serving stack for Ads.

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.

• Design and build a unified GPU inference platform for Ads, ensuring scalability, reliability, efficiency.
• Optimize model inference via batching, quantization, scheduling, memory management, runtime optimization, kernel-level improvements and other performance improvements
• Develop, optimize, and maintain CUDA kernels and GPU operators for high-throughput, low-latency production inference.
• Collaborate with algorithm/model teams to co-design serving‑aware model architectures and optimizations.
• Profile and improve end‑to‑end system performance: GPU utilization, concurrency, memory footprint, throughput and latency.
• Provide senior technical leadership across teams; elevate engineering best practices and influence long‑term technical strategy.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years’ experience in high-performance systems, distributed systems, or ML infrastructure.
• Hands-on experience with GPU inference runtimes such as TensorRT, ONNX Runtime, Triton, TRT‑LLM, vLLM.
• Experience building and optimizing performance‑critical production systems.

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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Expertise in CUDA kernel development and GPU performance engineering.
• Familiarity with LLM/Transformer inference optimizations:
  • sharding, tensor/kv‑cache parallelism, paged attention, continuous batching, quantization (FP8/AWQ), hybrid CPU–GPU orchestration.

#MicrosoftAI

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

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

Required Qualifications:

• 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.
• 2+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 
• 2+ years’ experience in building and releasing production software at the platform level.
• Solid knowledge of APIs, data flows, systems, and services. 

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 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.
• 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 
• 4+ years’ experience in building and releasing production software at the platform level. 
• Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments 
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 
• Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use. 
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers. 
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. 
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

#MicrosoftAI #Copilot

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.

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.

Our Platform Infrastructure team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production. 

We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time. 

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.

• Design, develop, and maintain performant and secure AI Platform services that power Copilot.
• Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
• Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

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.

4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.

• 4+ years’ experience in building and releasing production software at the platform level.
• Solid knowledge of APIs, data flows, systems, and services. 

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.
• 5+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
• 5+ years’ experience in building and releasing production software at the platform level.
• Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

#MicrosoftAI #Copilot

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.

The Publisher Marketplace is a next-generation platform that enables LLM clients (such as Copilot) to discover, access, and pay for premium content from trusted publishers. As a Principal Software Engineer, you will lead the design and development of backend systems and data pipelines that power this marketplace. You will make key architectural decisions, ensure scalability and security, and mentor other engineers to deliver a world-class 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.  

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.

• Architects and builds scalable core services, including APIs and microservices for publisher onboarding, content catalog management, entitlement, and billing, ensuring secure integration with LLM clients for seamless content consumption.
• Designs and implements robust testing and analytics systems, developing ingestion pipelines for premium content, enabling real-time usage tracking, billing insights, and performance monitoring, while leveraging AI tools for test automation.
• Leads architecture and infrastructure design, creating systems that support subscription models, pay-per-use billing, and licensing compliance, while optimizing backend performance for high availability and low latency in AI-driven environments.
• Drives engineering excellence, applying secure coding practices, automation in deployment, and compliance validation, while continuously improving code quality, maintainability, and performance through metrics and best practices.
• Guides implementation and release planning, breaking down work into manageable tasks, estimating timelines, and ensuring disaster recovery, rollback strategies, and secure deployment processes are in place.
• Champions reliability and supportability, integrating telemetry and monitoring for live site operations, conducting incident retrospectives, and improving observability to reduce downtime and enhance system resilience. 

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Minimum of 5 years of experience in backend development and distributed systems.
• Solid knowledge of data processing frameworks (e.g., Spark, Kafka) and streaming systems.
• Experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and CI/CD pipelines.
• Familiarity with secure payment systems, API gateway patterns, and identity management.
• Proven ability to design high-scale systems for AI and LLM integration.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with marketplace platforms, digital content monetization, or AI ecosystems.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and intellectual property protection strategies.
• Understanding of LLM workflows and content licensing models.  

#MicrosoftAI

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

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

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 
• 6+ years’ experience in building and releasing production software at the platform level. 
• Solid knowledge of APIs, data flows, systems, and services. 

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:

• Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments 
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 
• Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use. 
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers. 
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. 
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. 
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

#MicrosoftAI #Copilot

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

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

Required Qualifications:

• 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 4 years of hands-on experience designing and building search, retrieval, or ranking systems.
• Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
• Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.
• Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.

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.
• Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL.
• Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).
• Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.

#MicrosoftAI #BING

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

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

Required Qualifications:

• Bachelor’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 Master’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 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.
• At least 5 years of software development experience and over 2 years of project management experience.
• Good English communication skills, with the ability to effectively engage in technical and business discussions with global teams.
• Solid project management abilities, familiar with Agile development processes, and capable of working effectively in a multitasking environment.
• Excellent leadership and team collaboration skills, with the ability to motivate team members and communicate effectively with cross-functional teams.
• Solid analytical and problem-solving skills, capable of quickly responding to and handling system failures.
• Solid interest in technological innovation and the ability to lead a team in a fast-changing technical environment.

Preferred Qualifications:

• A background in recommendation systems or algorithms, with the ability to provide professional guidance and innovative ideas in personalized content recommendations.

#MicrosoftAI 

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.