Member of Technical Staff, Software Co-Design AI HPC Systems – MAI Superintelligence Team
Member of Technical Staff, Software Co-Design AI HPC Systems – MAI Superintelligence Team
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Our team’s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today’s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.
This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.
In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.
About the Team
We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.
Microsoft Superintelligence Team
Microsoft Superintelligence team’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.This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.
Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.
Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.
Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.
Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.
Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.
Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.
Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.
Qualifications
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
10+ years of experience (or equivalent depth) working across systems software, hardware architecture, or AI infrastructure, with demonstrated impact at scale.
Strong background in one or more of the following areas:
AI accelerator or GPU architectures
Distributed systems and large-scale AI training/inference
High-performance computing (HPC) and collective communications
ML systems, runtimes, or compilers
Performance modeling, benchmarking, and systems analysis
Hardware–software co-design for AI workloads
Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.
Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders.
Preferred Qualifications
Experience designing or operating large-scale AI clusters for training or inference.
Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications.
Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand).
Background in performance modeling and capacity planning for future hardware generations.
Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews.
Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – AI Pretraining – MAI Superintelligence Team
Member of Technical Staff – AI Pretraining – MAI Superintelligence Team
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- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects
- Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making
- Have experience and/or in-depth understandings about large-scale distributed systems
- Demonstrate an ability to work collaboratively in a fast-paced, innovative environment
Responsibilities
- Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations
- Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack
- Collaborate closely with teams on infrastructure, data, post-training, and multimodality
- Embody our culture and values.
Qualifications
- · Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- Proven expertise in the area of pretraining
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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 Applied Scientist
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As the advertising ecosystem expands, sophisticated adversarial actors are leveraging generative AI, automation, and distributed infrastructure to bypass safety controls. The Ads Trust and Safety team requires a Principal Applied Scientist to contribute to the research and technical strategy for Threat Modelling team. We are looking for a security domain expert who can advance the state of the art in Threat Modeling, and Adversarial Defense. This role involves transitioning trust mechanisms from static verification to dynamic, behavioral-based integrity systems. You will architect solutions to detect and neutralize high-complexity fraud vectors eg phishing, Payment fraud, cloaking, malware distribution, token misuse, and authentication etc ensuring the ads platform remains safe for users, advertisers and publishers.
The primary success metric is the robust identification and mitigation of advanced abuse vectors with minimal impact on legitimate advertiser friction and ad-serving latency.
Responsibilities
Responsibilities
- Strategic Threat Modeling: Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats, from account compromise (ATO) to malicious payload delivery.
- Evolution of Advertiser Trust: Advance the continuous, signal-based security protocol. Research and implement behavioral biometrics and Proof of Liveness models to detect synthetic identities and coordinated fraud rings.
- Adversarial Research: Proactively identify “unknown unknown” vulnerabilities through red-teaming and exploratory data analysis, developing models to predict attacker behavior before widespread exploitation.
- Technical Leadership: Drive the technical roadmap for integrity and security, mentoring senior engineers and influencing cross-functional stakeholders on security investment priorities.
Qualifications
Required Qualifications
- Bachelor’s, Master’s, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.
- Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.
- Strong programming skills in C++ or Python (at least one is required), with experience in building production-quality security or ML systems.
- Hands-on experience in one or more of the following:
- Web Security standards and Authentication Protocols (OAuth, OIDC).
- Malware analysis, de-obfuscation, or reverse engineering.
- Building fraud detection models at scale.
- Proven ability to design and implement defense mechanisms against complex abuse vectors (e.g., botnets, synthetic identity, evasion/cloaking).
- Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.
Preferred Qualifications
- 5+ years of experience in an Adversarial/Trust & Safety role at a major internet platform or cybersecurity firm.
- Familiarity with the Ad-Tech stack (RTB, OpenRTB) and associated fraud incentives.
- Background in Graph Neural Networks (GNNs) for fraud ring detection or behavioral biometrics.
- Track record of impact via security research publications, patents, or contributions to industry security standards.
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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We are seeking a highly skilled and motivated Applied Scientist with strong hands-on experience in building and optimizing agentic AI systems. Our mission is to benefit Office users with rich content and tool support to raise productivity, and we are building the AI and engineering system to make it happen. This position offers an exciting opportunity to design and develop highly complex and comprehensive systems combining engineering, AI and human participation. You will work closely with product managers, designers, and users to turn ideas and AI into reality and make a great impact to all global Office users.
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.
- Strong coding and debugging skills, and comfort working in cross-functional, agile environments.
- Experience on office document generation and related applications is a plus.
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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Responsibilities
- Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
- Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
- Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
- Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
- Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
- Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features.
- Integrate LLMs with product surfaces, APIs, and backend systems.
- Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.
- Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.
- Work closely with researchers, engineers, and product leaders in a fast‑moving AI team where ideas ship quickly and impact is immediate.
- Contribute to a culture of experimentation, clarity, and high‑quality execution.
- Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
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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.
- Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
- 2+ years shipping production-level code, models, or data analysis.
- 1+ years using AI-assisted coding and analysis techniques.
- Experience working on small teams and mid-stage startup environments.
- Experience working on AI products.
- PhD in engineering, applied math, statistics, or related analytical field.
- 4+ years shipping production-level code, models, or data analysis.
- Deep experience building from zero-to-one.
- Hands on work hillclimbing AI evaluations.
Data Science 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
Data Science 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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Responsibilities
- Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
- Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
- Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
- Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
- Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
- Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features.
- Integrate LLMs with product surfaces, APIs, and backend systems.
- Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.
- Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.
- Work closely with researchers, engineers, and product leaders in a fast‑moving AI team where ideas ship quickly and impact is immediate.
- Contribute to a culture of experimentation, clarity, and high‑quality execution.
- Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
- Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
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.
- Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
- 2+ years shipping production-level code, models, or data analysis.
- 1+ years using AI-assisted coding and analysis techniques.
- Experience working on small teams and mid-stage startup environments.
- Experience working on AI products.
- PhD in engineering, applied math, statistics, or related analytical field.
- 4+ years shipping production-level code, models, or data analysis.
- Deep experience building from zero-to-one.
- Hands on work hillclimbing AI evaluations.
Data Science 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
Data Science 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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As a Senior Data Scientist in the Multimedia Team, you will redefine how millions of users discover, consume, and create visual content. You will be at the heart of Bing Visual Search, Bing Image Creator, and our vast video indexing engine. Your mission is to build intelligent systems that understand the deep semantics of pixels and frames, enabling world-class image and video experiences that are fast, relevant, and inspiring.
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
- Visual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing’s multimedia features.
- Multimodal & Generative AI: Lead the development of multimodal embeddings that align text and visual data, and leverage Generative AI (e.g., DALL-E, MAI models) to enhance content creation tools.
- Scale & Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.
- Strategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.
- Responsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.
Qualifications
Required 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 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 2+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- Mastery of Python and deep learning frameworks such as PyTorch or TensorFlow.
- Proven track record in Computer Vision (CV) or Multimedia Understanding, including work with large-scale visual datasets.
- Experience building and deploying live production systems at scale.
Preferred Qualifications:
- PhD focused on Computer Vision, Video Analytics, or Multimodal Learning.
- Experience with big data tools like Spark/PySpark and Azure Machine Learning.
- Publications in top-tier venues such as CVPR, ICCV, or ACM Multimedia.
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, Infrastructure Data & Analytics – MAI SuperIntelligence Team
Member of Technical Staff, Infrastructure Data & Analytics – MAI SuperIntelligence Team
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We are seeking experienced Infrastructure Data & Analytics Engineers to join our Microsoft AI team and own the end-to-end technical vision and execution for infrastructure analytics, turning raw telemetry into trusted, decision-quality insights on utilization, capacity, readiness, and efficiency. This role is critical to helping the Microsoft AI, SuperIntelligence leadership make informed investment and planning decisions at scale.
Microsoft Superintelligence Team
Microsoft Superintelligence team’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.
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
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 Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.
Responsibilities
- Act as the technical lead and owner for infrastructure analytics across compute, storage, and networking.
- Design and build durable, scalable data pipelines that ingest telemetry from clusters, schedulers, health systems, and capacity trackers into Data Warehouse
- Define and standardize core metrics and semantics (e.g., utilization, occupancy, MFU, goodput, capacity readiness, delivery-to-production).
- Architect and maintain self-service dashboards and APIs for fleet, cluster, and squad-level visibility.
- Partner closely with stakeholders across Supercomputing Infra, Researchers, Strategy and Executives to ensure metrics reflect operational and business reality.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Lead data architecture and engineering decisions, applying strong technical judgment to proactively shape executive-level discussions and decisions.
- Identify data gaps and instrumentation issues; drive fixes by influencing upstream engineering teams.
- Establish data quality, validation, documentation, and governance so metrics are trusted and repeatable.
Qualifications
Required Qualifications:
- Bachelor’s degree in computer science, or related technical field AND 8+ years technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 6+ years experience with distributed data processing frameworks and large-scale data systems
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with technical engineering experience with data engineering, analytics, or data science, with increasing technical ownership in startup environment AND 10+ years experience with distributed data processing frameworks and large-scale data systems
- OR equivalent experience.
- Proven technical leadership in data engineering, analytics platforms, or large-scale telemetry systems.
- Hands-on experience with ETL orchestration frameworks such as Airflow, Dagster, or similar.
- Strong communication skills; can explain complex systems clearly to senior leader.
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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Technical Advisor, Microsoft Superintelligence (Office of the CEO)
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The Microsoft Superintelligence team is building Humanist Superintelligence – advanced AI designed to remain controllable, aligned, and firmly in service to humanity. As a lean, fast-moving research lab within Microsoft AI, we are focused on creating the safest, most capable AI systems that amplify human potential and deliver tangible impact to billions of users worldwide.
We’re looking for a Technical Advisor to join Microsoft Superintelligence in the Office of the CEO of Microsoft AI. The right candidate combines deep technical expertise in machine learning and software engineering with the ability to provide strategic counsel on high-stakes decisions. This role requires someone who can dive deep into research problems—evaluating models, prototyping solutions, and analyzing technical tradeoffs—while also synthesizing insights for executive decision-making. You’ll work across the full spectrum of our research efforts, from model development and infrastructure to safety and alignment.
The ideal candidate thrives in ambiguity, takes initiative, and can context-switch fluidly between hands-on technical work and strategic advisory. You should be comfortable working across a variety of projects as they surface ad-hoc and able to clearly communicate findings in exec-level written documents.
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.
This role is based in Mountain View, CA or Redmond, WA. You are required to be local to one of these locations and in office 3 days a week.
Responsibilities
Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio
Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work
Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions
Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership
Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work
Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives
Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities
Qualifications
Required Qualifications:
Bachelor’s degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience.
Preferred Qualifications:
8+ years of experience in software engineering, machine learning, or AI research.
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field.
Software engineering skills with the ability to rapidly prototype and evaluate technical solutions.
Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas.
Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences.
Track record of operating effectively in fast-paced, ambiguous environments.
Ability to context-switch across diverse technical domains.
Published research at top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
Experience at a leading AI research lab or startup.
Experience with model training, infrastructure, or AI safety research.
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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Technical Advisor, Microsoft Superintelligence (Office of the CEO)
Technical Advisor, Microsoft Superintelligence (Office of the CEO)
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The Microsoft Superintelligence team is building Humanist Superintelligence – advanced AI designed to remain controllable, aligned, and firmly in service to humanity. As a lean, fast-moving research lab within Microsoft AI, we are focused on creating the safest, most capable AI systems that amplify human potential and deliver tangible impact to billions of users worldwide.
We’re looking for a Technical Advisor to join Microsoft Superintelligence in the Office of the CEO of Microsoft AI. The right candidate combines deep technical expertise in machine learning and software engineering with the ability to provide strategic counsel on high-stakes decisions. This role requires someone who can dive deep into research problems—evaluating models, prototyping solutions, and analyzing technical tradeoffs—while also synthesizing insights for executive decision-making. You’ll work across the full spectrum of our research efforts, from model development and infrastructure to safety and alignment.
The ideal candidate thrives in ambiguity, takes initiative, and can context-switch fluidly between hands-on technical work and strategic advisory. You should be comfortable working across a variety of projects as they surface ad-hoc and able to clearly communicate findings in exec-level written documents.
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.
This role is based in Mountain View, CA or Redmond, WA. You are required to be local to one of these locations and in office 3 days a week.
Responsibilities
Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio
Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work
Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions
Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership
Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work
Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives
Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities
Qualifications
Required Qualifications:
Bachelor’s degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience.
Preferred Qualifications:
8+ years of experience in software engineering, machine learning, or AI research.
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field.
Software engineering skills with the ability to rapidly prototype and evaluate technical solutions.
Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas.
Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences.
Track record of operating effectively in fast-paced, ambiguous environments.
Ability to context-switch across diverse technical domains.
Published research at top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
Experience at a leading AI research lab or startup.
Experience with model training, infrastructure, or AI safety research.
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
Member of Technical Staff, AI Product, Android Engineer