דרושים Cambridge Intern Program – Optical Materials Scientist ב-Microsoft ב-Taiwan, Taoyuan City

As a Software Engineering PhD Intern, you will work with teammates to solve problems and build innovative software solutions. You will apply your passion for customers and product quality as you provide technical guidance to Technical Program Managers and Product Managers. You will learn and adopt relevant new technologies, tools, methods, and processes to leverage in your solutions. This opportunity will enable you to advance your career by designing, developing, and testing next-generation software that will empower every person and organization on the planet to achieve more.

Required Qualifications

• Pursuing a PhD in Computer Science, Engineering, or related field during the academic term immediately before the internship.

• Must have at least 1 semester/term remaining following the completion of the internship.

• At least one year of programming experience in an object-oriented language.

Preferred Qualifications

• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
• Academic/research experience with distributed systems, network architecture, operating systems, and/or related topics.

The base pay range for this internship is USD $5610.00 - $11010.00 per month. 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 $7270.00 - $12030.00 per month.

• Applies engineering principles to solve complex problems through sound and creative engineering.

• Works with appropriate stakeholders to determine user requirements for a feature.

• Quickly learns new engineering methods and incorporates them into work processes.

• Seeks feedback and applies internal or industry best practices to improve technical solutions.

• Demonstrates skill in time management and completing software projects in a cooperative team environment.

• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

and multi-disciplinary group of scientists,

Principal Data & Applied Scienwork ongroundbreaking andhigh-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques—especially those involving LLMs—to real-world developer workflows.. You will have the opportunity to design and lead experiments, build and evaluatemodels (including RAG pipelinesand evaluation frameworks), andinsights into scalable product features. Most importantly,play a key role in bridging

Required/Minimum Qualifications:

• degree in Computer Science, Engineering, Mathematics, Statistics

• +yearsexperiencewith strongproficiencyinPython, machine learning frameworks,and experience developing and deploying generative AI or machine learning models into production. (Experience withadditionalprogramming languages is a plus but notrequired

Preferred Qualifications

• or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significantappropriate experiencewill be considered).

• Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.

• Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.

• Experience with LLMs in natural language, AI for code or related fields

• Excellent communication skills, ability to present andwritereports, strongteamworkand collaboration skills.

• Experience in productizing AI and collaborating with multidisciplinary teams.

• researchand productization ofstate-of-the-art in AI for Software Engineering

• Build and manage large-scale AI experiments and models.

• Drive experimentation through A/B testing and offline validation to evaluate model performance.

• and geographieswith product teamsinMicrosoft and Github

• Stay up to date with the research literature and product advances in AI for software engineering

• Collaborate with world renowned experts in programming tools and developer tools to integrate AI across software development stack for Copilot

• Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession

The Security Models Training team builds and operates the large-scale AI training and adaptation engines that power Microsoft Security products, turning cutting-edge research into dependable, production-ready capabilities. As a, you will lead end-to-end model development for security scenarios, including privacy-aware data curation, continual pretraining, task-focused fine-tuning, reinforcement learning, and rigorous evaluation. You will drive training efficiency on distributed GPU systems, deepen model reasoning and tool-use skills, and embed responsible AI and compliance into every stage of the workflow. The role is hands-on and impact-focused, partnering closely with engineering and product to translate innovations into shipped experiences, designing objective benchmarks and quality gates, and mentoring scientists and engineers to scale results across globally distributed teams. You will combine strong coding and experimentation with a systems mindset to accelerate iteration cycles, improve throughput and reliability, and help shape the next generation of secure, trustworthy AI for our customers.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Proven track record training and shipping large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation.
• Proficiency in Python and PyTorch, with hands-on experience building and debugging large-scale training jobs.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Security domain experience in one or more areas: security operations, threat intelligence, malware analysis, vulnerability and posture management, anomaly detection, phishing and fraud detection, or cloud identity and access.
• Experience with distributed training and scaling techniques, for example DeepSpeed, FSDP, ZeRO, model and pipeline parallelism, mixed precision, and profiling.
• Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 21, 2025.

• Lead the full modeling lifecycle for security scenarios, from data ingestion and curation to training, evaluation, deployment, and monitoring.
• Architect and optimize large-scale distributed training on GPU clusters, improving throughput, reliability, and cost efficiency.
• Design and implement privacy-preserving data workflows, including anonymization, templating, synthetic augmentation, and quantitative utility measurement.
• Develop and maintain fine-tuning and adaptation recipes for transformer models, including parameter-efficient methods and reinforcement learning from human or synthetic feedback.
• Establish objective benchmarks, metrics, and automated gates for accuracy, robustness, safety, and performance, enabling repeatable model shipping.
• Collaborate with engineering and product teams to productionize models, harden pipelines, and meet service-level objectives for latency, throughput, and availability.
• Mentor applied scientists and engineers, promote strong documentation and experiment hygiene, and foster a culture of rapid iteration grounded in responsible AI principles.
• Contribute to thought leadership by staying current with the latest AI advances and translating promising techniques into practical, measurable impact.

? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency.lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.

in natural language processing (NLP), witha strong foundationin large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. The candidate should be comfortable working in a fast-paced, experimentation-driven environment,both offline and online evaluation methods to iterate rapidly andagent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.

Qualifications

• Bachelor's Degree in 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 Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.
• 1+ years of experience withgenerativeAIOR LLM/ML

Preferred Qualifications:

• Experience withMLOpsWorkflows, including CI/CD, monitoring, and retraining pipelines

• Familiarity with modernLLMOpsframeworks (e.g.,LangChain,PromptFlow

• 3+ years of experience publishing in peer-reviewed venues or filing patents.

• Experience presenting at conferences or industry events

• 3+ years of experience conducting research in academic or industry settings
• 1+ year of experience developing and deploying live production systems

• 1+ years of experience working with Generative AI models and ML stacks
• Experience across the product lifecycle from ideation to shipping

and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings:

• requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• by executing high‑leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.

• Lead the design and implementationof advanced model fine‑tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real‑world scenarios.

• Own complex, end‑to‑end projectsthat combine technical depth with cross‑functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.

• Foster alignment and trustacross partner teams through clear, actionable communication and collaborative problem‑solving.

• Develop and maintainrobust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise‑scale environments.

• Mentor and supportpeers by sharing best practices, reviewing designs, and contributing to a collaborative, high‑performance team culture.

• Leverage AI tostreamline workflows and enhance team productivity through intelligent automation and innovation.

This new& Program LandingProgram Manager rolefunctions to deliver strategic programs and transformation initiatives across SE&O Asia.As theATU Enablement & Program Landing Program Manager, you willbe responsible fordesigning, operationalizing, and managing strategic programs aligned to fiscal year priorities, while also owning thelanding model. You will partner closely withAsia andThis role requires strong program management, cross-functional collaboration, and the ability to lead at scale across people, processes, and technology. You will act as a thought leader, coach, and orchestrator—energizing teams, removing roadblocks, and enabling business and cultural transformation.

• , Marketing, Computer Science, or related field, or equivalent experience.

• 5+ years in marketing, program management, cloud services, or related sales roles.

• Strong understanding of Microsoft sales processes, cycles, and best practices.

• Demonstrated ability to design and execute programs with measurable business impact.

Program Management & Execution

• Design, operationalize, and manage enablement programs aligned with SE&O Asia and ATU priorities.

• Lead planning and orchestration of cross-functional programs, ensuring alignment with One Microsoft priorities.

• Establish robust project management practices and execution plans,leveragingdata tomonitorperformance and mitigate risks.

• Serve as a program subject matter expert and liaison between field and corporate teams.

Transformation &Program Landing

• Own theAsiachange strategy and plan, including fiscal year planning and in-year initiatives.

• Develop and execute the landing model for SE&Oinmarket

• Partner with Asia& Areachangev-teams to scalelast-mileexecution and adoption.

• MCEM,program strategies and provide feedback for optimization.

• Partner with field leadership to ensure consistent communication, readiness, and alignment on shared outcomes.

• Build andmaintain

Insights, Feedback & Sales Enablement

• Leverage data and insights tomonitorprogram performance and inform sales strategy.

• Establish feedback rhythms with field and corporate teams to drive continuous improvement.

• Drive adoption of solution plays by integrating sales and marketing efforts across segments.

• Engage with the partner ecosystem to amplify program impact and support execution.

a hands-on, entrepreneurial Principal Technical Program Manager (TPM) with deepin responsible AI risks and mitigation strategies, and a drive to build innovative solutions that enable responsible AI at scale.

In this role, you willtools, frameworks, and processesand conduct assessmentsYou will collaborateacross policy, research, engineering, and operationstranslate responsible AI principles into practicalthat integrateinto AI development workflows.

Success in this role requires a proven technical foundation, understanding of generative AI use cases,and fluency in responsible AI measurement and mitigation techniques. You should be comfortable navigating ambiguity,and influencing organizational practices

Required Qualifications:

• Bachelor's Degree AND6+years experiencein engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.
• 1+ years of experience with AI systems
• Experience in Responsible AIand/or AI safety

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:

• Bachelor's Degree AND 10+ years experience in engineering, product/technical program management, data analysis,OR product development
  • OR equivalent experience
• 8+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).

• Experience with Generative AI, especially in emerging risk areas
• Experience using AI tools
• Demonstrated ability to lead complex programs or initiatives without direct authority

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• tools, frameworks, and processes, scaleyour domainexpertisein responsible AI risk assessments, mitigations, generative AI, and customer use cases while building trusted relationships with product teams and cross-functional stakeholders

• dentifypatterns and gaps across use cases, assessments, and requirements, definingnew solutionsand collaborating with engineering and policy partners tosolve problems.

• the responsible AI system, ensuring efforts are focused on the highest-impact areas andrequirements areimplemented efficientlyand effectivelyacross diverse teams

• Establish clear success criteriafor projects and programs,define meaningful metrics,and foster collaboration in complex, cross-functional environments to advance responsible AI risk management and governanceacross shared roadmaps

• ommunicateand trackprogress effectively to ensure transparency, accountability, and sustained momentum.

The Azure Trusted Platform team is seeking an experienced Senior Technical Program Manager - Compliance to support Azure’s regulatory work. The Senior Technical Program Manager - Compliance will work with multiple stakeholders within Azure as well as external advisors to understand regulatory and compliance framework requirements and will work to implement adherence across Azure. The role will also be supporting audit and examination engagements across multiple Microsoft Online Service’s offerings with respect to that compliance.Azure Trusted Platform team calls on resources from across Microsoft to plan for regulatory obligations and to respond to the inquiries about regulations from regulators, auditors and customers. Increasingly the principal requirements and queries that those audiences have are about international compliance requirements. The work requires an inquisitive mindset, an inclination towards precision and explanation, and no fear of either detailed work or abstraction. You won’t write code in this role, but you should be comfortable working with people who do. You won’t write contracts in this role, but you should understand the value and limitations of contracts. If you can differentiate “SOX” from “SOC”, “HIPAA” from “HiTrust” and “PIPL” from “PIPEDA”, then we want to meet you. The lexicon of regulatory compliance is a tongue twister, and we work to untwist it for Azure and drive the right preparation.

Required Qualifications:

• Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 2+ years of experience responding to or conducting compliance audits (e.g., System and Organization Controls 2 (SOC 2), Payment Card Industry (PCI), International Standards Organization (ISO), Health Information Trust Alliance (HITRUST), Federal Risk and Authorization Management Program (Fed RAMP)),
  • OR Experience in conducting regulatory examinations of technical systems or service provider to assess/validate compliance and efficacy of governance.
• 2+ years of experience managing cross-functional and/or cross-team projects.

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:

• Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 1+ year(s) of in-depthexperience with financial, healthcare or pharmaceutical standards/regulations either as regulator party or regulated party.
• 1+ year(s) of technical systems architecture or cloud solution background.
• 1+ year(s) of proficiency in high stakes negotiation or influencing.
• 1+ year(s) of exemplarywriting and presentation skills.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 21, 2025.

• Analyze new and changing regulations with Azure in mind.
• Recommend and justify our compliance approach to leadership.
• Support, scale, and execute Azure external assessment/audit projects.
• Devise requirements for building tools and processes needed to develop a scalable and efficient compliance program.
• Create and execute effective action plans in response to auditor or regulatory investigations and findings.
• Review and audit Azure’s procedures, practices and policies to assess their effectiveness at supporting regulatory or framework compliance.
• Engage with customer and partner teams in escalated situations.

• Other · Embody our