Principal Ux Researcher - Business & Industry Copilot Bic jobs at Microsoft in Taiwan, Taoyuan City

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

Your focus will be to lead the

• Bachelor’s degree in Computer Science, Engineering or related field or equivalent work experience
• Substantial experience in Change Management and Adoption.
• Deep understanding of Microsoft 365, Azure AI, and Copilot technologies.
• Strong communication and stakeholder management skills, with the ability to influence at all levels.
• Passion for innovation, customer success and continuous learning.
• Fluent in English; Dutch or French is a plus.

Some of your responsibilities include:

• Be a trusted advisor and drive business value through AI Transformation : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
• Lead Adoption Strategy : Design and execute tailored adoption and change management plans that align with customer business objectives and Microsoft’s AI vision.
• Drive Organizational Change : Guide customers through the cultural and operational shifts required to embed Copilot into daily workflows.
• Champion Business Value : Translate technical capabilities into measurable business outcomes, using ROI models, usage analytics and success metrics.
• Enable Stakeholders : Engage executive sponsors, change agents and champions to build momentum and sustain adoption across departments.
• Deliver Readiness & Training : Facilitate workshops, onboarding sessions, and enablement programs to upskill users and ensure Copilot readiness.
• Collaborate Across Teams : Partner with sales, engineering, and partners to ensure seamless delivery and customer success.
• Contribute to IP & Scale : Help build reusable assets, playbooks, and best practices to scale adoption efforts across regions.
• Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback and success stories to inform internal strategy and execution.
• Learn-it-all:

This role requires an experienced professional who thrives in complex environments, canneeds, and consistently delivers with discretion, judgment, and professionalism.

This is more than an administrative role

• 5+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper-level management
  • OR equivalent experience
• 5+ years experience supporting Director, CVP, and Executive-level leaders within a globally distributed team.
• 3+ years experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training)
• Experience collaborating with a highly geo-diverse team across multiple time zones.

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.

Additional or preferred qualifications

• 10+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper-level management
  • OR equivalent experience
• 10+ years experience supporting Director, CVP, and Executive-level leaders within a globally distributed team.
• Bachelor's Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology)
  • OR equivalent experience
• 5+ years experience reviewing and managing administrative budgets (e.g., for events, morale, travel, training)
• 2+ years experience serving as mentor to others

Executive Business Administrator ATR-D - The typical base pay range for this role across the U.S. is USD $30.29 - $50.53 per hour. 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 $41.83 - $57.88 per hour.

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

• Provide high-level administrative support to the CVP, including proactive calendar and schedule management, travel coordination, and executive communications.

• effectivenessacross time zones, ensuring alignment on critical business priorities and seamless execution of the rhythm of business (ROB).

• Manage complex headcount, budget, and space planning processes in partnership with finance and business operations teams.

• Serve as a trusted connector across the organization, reinforcing Microsoft’s culture and values.

• challenges, remove barriers, and enable the CVP and leadership team to focus on high-impact decisions.

• Partners with Global Talent Acquisition and hiring managers on recruitment and onboarding. Ensures smooth processes for new hires, interns, and executive onboarding.

• logistics, and outcomes. Leverages resources to deliver efficient, high-quality experiences.

• Oversees purchase orders, expenses, and compliance with Microsoft policies. Acts as interim approver when needed.

• Leads office space management and planning, from desk assignments to large-scale restacks and buildouts, ensuring alignment with organizational needs.

• Actively contributes to the Business Support community by mentoring peers and sharing best practices.

Embody our

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.

As aScience Managerfor BIC, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration ofYou will collaborate acrossThis rolewill combineAI knowledge withapplied sciencedemonstrate a growth mindset

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 of people management experience.
• 1+ years of experience withgenerativeAIOR LLM/ML

Other Requirements:

• to meet Microsoft,customerand/or government security screening requirementsarerequiredfor 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.

Preferred Qualifications

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

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

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

• Experience presenting at conferences or industry events

• + years of experience conducting research in academic or industry settings

• + year of experience developing and deploying live production systems

• + years of experience working with Generative AI models and ML stacks

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 15, 2025.

Bringing the State of the Art to Products

• Build collaborative relationships with product and business groups to deliver AI-driven impact
• LeadResearch and implementation ofstate-of-the-artusing foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
• Fine-tunefoundation models using domain-specificdatasets. -Evaluate model behavior on relevance, bias, hallucination, and response qualityvia offline evaluations, shadow experiments, online experiments, and ROI analysis.
• Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, supportMLOps/AIOps.
• Contribute to papers, patents, and conference

Leveraging Researchin real-world problems

• deepexpertisein AI subfields (e.g.,deep learning, Generative AI,NLP,muti-modal models)to translatecutting-edgeresearch into practical, real-world solutions that drive product innovation and business impact.
• Share insights on industry trends and applied technologies with engineering and product teams.
• Formulate strategic plans that integratestate-of-the-art

Documentation

• Maintain clear documentation of experiments, results, and methodologies.
• Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing

,and Security

• Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.
• Contribute to internal ethics and privacy policies andensure responsible AIpracticethroughoutAIdevelopment cyclefrom data collectionto model development, deployment, and monitoring.

Specialty Responsibilities

• Design, develop, and integrate generative AI solutions usingfoundation models and more.
• Deep understanding ofsmall and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classicalML,andoptimization techniques to adapt out-of-the-box solutions toparticular businessproblems
• Prepare and analyze data for machine learning,identifyingoptimalfeaturesandaddressingdata gaps.

engineers to help achieve that mission.

cutting edgenew technologya mission

Hardware/Firmware for server, silicon, and rack infrastructureof Cobaltand Maia

with experienceSystem on Chip Architecture (SoC),ring up of SoC, root causing issuesat the intersection of multiple subsystems across firmware and hardwareanage debugging at scale forconnected fleets

Required Qualifications

• Bachelor’s or higher in Computer Science, Computer Engineering, Electronics Engineering, or similar.
• 15+ years of working experience in large scale system design & architecture, development, testing, and release and performance tuning.

• Experience with Platform initialization, Board support package (UEFI/U-Boot), integration, low level drivers for peripherals such as PCIe, I2C, eMMC, SPI, USB, UARTs as well as Memory Management, Scheduling, Interrupts,and multi-threading.

• Hands on experience in programming in C or C++

• Strong problem solving, debugging, and troubleshooting skills.

• inDesign for Debug (DFD)

Preferred Qualifications

• Familiarity with secure debug topics for ARMTrustZoneand related security architectures

• bility to triage issues across hardware, firmware, and distributed systems.

• toARM-specific debug solutions:CoreSight, Debug Access Ports (DAPs), Embedded TraceMacrocells(ETMs), System TraceMacrocells

• leveragingdeep domainexpertiseto influence product roadmap

• about exploring and deploying noble methods to improve coverage,debugging, and efficiency of our FW releases.

and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will beto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• You willarchitect scalable debug solutions forpre-silicon, post-silicon,

• You willimplement high-performance debug infrastructure includingtrace, debug interfaces(e.g., JTAG,CoreSight), and system observability pointsensuringcoverage for functionality, performance, and power metrics.

• You will be involved with all phases of product developmentincluding pre-silicon, post-silicon, and platform deployment in the datacenter.

• You willperform data exploration and root cause analysis forSoCor platform-level issues.

• You willuse telemetry and logs for triage across multiple components and services.

• You will collaborate with platform architects, firmware architects, programmanagementandcomponentdev teamsforunderstanding the technical depth of the features and definingSoC Debug Architecture,debug signalsinto Fleet systemsand defineFramework for SoC Debugging/Tools/methodologyfor End-to-end feature readiness

• Stay ahead of industry trends and ensure debug capabilities align with future SoCarchitectureand security requirements

• You willidentifyand address inefficiencies and gaps in architecture, testing, execution, etc.

• You will mentor, guide, and help peers and other team members.

• Ability to see system level “big picture” tovalidatethat the integrated firmware/system software aligns to architectural goals of product.

• Clear technical writing andcrossorginfluence; ownership of specs, reviews, and signoffs consistent with our Job Architecture expectation

Minimum Qualifications:

• Bachelor's Degree in Statistics, Mathematics, Computer Science or related field.
• OR 3+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.
• 3+ years of software development/research experience utilizing knowledge of security/threat landscape Practical Windows internals knowledge (other OS experience may count).
• 1+ years of experience with Reverse Engineering: familiar with debuggers, disassemblers, protocols, file formats.

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

Preferred Qualifications:

• Master's Degree in Statistics, Mathematics, Computer Science or related field.
• OR 4+ years experience in software development lifecycle, large-scale computing, modeling, cyber-security, and/or anomaly detection.
• Offensive security research experience.
• Digital forensics skills Programming skills in C, C++, C# or willingness to learn Industry recognized author of security research papers, blogs, or books Low-level/security knowledge of other operating systems.

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 August 21, 2025.

As a Security Researcher II, you will:

• Research emerging attack vectors and techniques.
• Analyze detection and prevention gaps and understand root cause.
• Design and develop detection, prevention and disruption solutions to thwart advanced attacks.
• Synthesize in-field telemetry to judge the state of threat coverage and share insights.
• Identify trends, foresee landscape direction and propose enhancements to meet the needs.
• Collaborate across teams to address systemic security issues.
• Guide design of AI based solutions to tackle hard security problems.