Director Research jobs at Microsoft in Taiwan, Taoyuan City

is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. Our research spans a diverse range of areas, including computer vision, generative AI, 3D perception, and robotic action learning, among others relevant to Embodied AI. By pushing the boundaries of these domains, we aim to develop innovative solutions that bridge the gap between the digital and physical worlds, empowering AI systems to perceive, comprehend, and navigate complex real-world scenarios.

Required Qualifications:

• Currently enrolled in a PhD program in Robotics, Machine Learning, Computer Science, or a related STEM field.
• Research experience inembodied AI, robotics, AI models, natural language, computer vision, demonstrated for example through research in a related PhD program and/or publications in conferences or scientific journals.
• Hands-on experience with Python and modern deep learning frameworks.
• Excellent problem-solving skills and the ability to work independently as part of a team.
• Strong communication skills and the ability to present complex ideas clearly.

Other Requirements:

• Ability to physically work from Microsoft Research Asia – Tokyo (Japan) for the duration of the internship.
• Must obtain permission from your academic advisor and commit to at least four months of internship.

Preferred/Additional Qualifications:

• Proven software engineering skills, evidenced by professional experience, internships, and impactful open-source contributions.
• Practical experience with handling data and robot learning, such as experience in Vision-Language-Action modelsor Hand Object Interactions.
• Familiarity with1)robot learning for robot hand manipulationor 2) hand pose estimation techniques or 3) reasoning techniques (Chain-of-Thought) used in LLM.

• Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in Embodied AI.
• Design and implement experiments to test new hypotheses and validate research findings.
• Communicate research findings to an interdisciplinary research team.
• Prepare technical papers, presentations, and open-source releases of research code.

At , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.

Required:

• PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field.
• Strong software engineering in Python (packaging, testing, CI), with systems thinking for data‑intensive ML.
• Deep learning experience (PyTorch/JAX/TensorFlow) and solid foundations in linear algebra, probability, and statistics.
• Proven experience designing robust data pipelines for large‑scale ML (HPC or cloud).
• Ability to reason about learning signal and to assess information content of real‑world scientific datasets.
• Excellent collaboration and communication in interdisciplinary teams.

Preferred:

• Hands‑on cryo‑EM experience (e.g., map reconstruction, refinement, or pipeline tooling).
• CUDA or C++ for performance‑critical components; experience with mixed precision and memory‑efficient training.
• Experience integrating experimental data into ML models (e.g., constraints/priors from cryo‑EM, binding assays, spectroscopy).
• Familiarity with MD data, structure prediction systems, or protein design work-flows.
• Experience with cost‑optimization for data collection and cloud utilization; clear track record of building reliable, maintainable research software at scale.
• Experience with structural biology or molecular biology data/techniques (e.g., cryo‑EM, binding assays, spectroscopy, expression, sequencing)

• Data integration for structure & dynamics: Build ingestion/curation pipelines for structural/biophysical data (mmCIF/PDB, EM maps/particles, binding/biophysics, spectroscopy); implement map/volume preprocessing (e.g., resolution filtering, normalization) and alignment to model inputs/outputs.
• Cryo‑EM expertise: Operationalize end‑to‑end flows from raw image stacks/particles to 3D maps and model‑ready tensors; interoperate with community formats (e.g., EMDB/EMPIAR, mmCIF) and link to sequences/annotations.
• Signal & information content: Design dataset diagnostics (e.g., mutual‑information‑like measures, effective sample size, SNR proxies) to quantify what data teach the model; build active‑learning loops that maximize learning per euro of data collection time.
• Model‑aware data services: Implement scalable, versioned data services and feature stores that feed training/evaluation; design loaders/augmentations optimized for throughput and correctness (GPU‑aware).
• Training‑at‑scale engineering: Own distributed data pipelines and orchestration for large runs on Azure; profile and tune I/O, storage tiers, data locality, and caching; monitor cost, utilization, and failure modes.
• Quality, governance, and reproducibility: Codify schemas/ontologies, metadata contracts, unit/integration tests, and lineage; automate validation and data drift detection; maintain documentation and examples.
• Partner across disciplines: Work closely with ML researchers, structural biologists, and drug designers; translate experimental constraints into robust computational workflows; communicate clearly and proactively.

Required Qualifications:

• 10+ years relevant work experience (e.g., investment banking, consulting, finance, marketing, corporate strategy, sales, venture capital, legal, business development, product management, project management, software development, or related field)
  • OR equivalent experience.
• Experience in structuring and negotiating complex strategic alliances or acquisitions

Preferred Qualifications:

• Bachelor's Degree in Business, Liberal Arts, Sciences, or related field AND 12+ years relevant work experience (e.g., investment banking, consulting, finance, marketing, corporate strategy, sales, venture capital, legal, business development, product management, project management, software development, or related field)
  • OR Master's/Advanced Degree in Business, Sciences, or related field AND 10+ years relevant work experience (e.g., investment banking, consulting, finance, marketing, corporate strategy, sales, venture capital, legal, business development, product management, project management, software development, or related field)
  • OR equivalent experience.
• 8+ years experience in the technology industry OR in a technical role (e.g., IT, Engineering).
• Industry experience in driving Shopping or Payments Partnerships

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 28, 2025.

Partner & Customer Focus

• Leverages internal and external network to develop new strategic relationships. Develops relationships as a trusted advisor with key stakeholders. Works cross-functionally on internal strategy and works with v-teams to deliver alignment on objectives and outcomes.
• Articulates the value of Microsoft solutions, leveraging knowledge of customer and partner business priorities and/or drivers to influence decision making. Looks across opportunities to identify and address broad issues and trends.

Market Signal

• Develops processes and channels for information gathering and reporting, including synthesizing key insights and trends gathered from engagements for executive consumption.

Partnership Strategy

• Formulates partnership strategy for Shopping & Payments growth priorities with input from relevant stakeholders and creates business value propositions based on partner and company needs.
• Builds and utilizes internal & external network with a diverse set of stakeholders to identify and validate unique opportunities across business areas. Provides input into recommendations on partners.
• Positions the Microsoft value proposition versus competitors and works with stakeholders to influence the build/buy/partner decision to meet customer needs, leveraging knowledge of Microsoft and customer issues in conjunction with product/industry teams to establish a foundation for future opportunities in competitive situations through collaboration.
• Provides insight on industry and/or competitive trends and drives action based on insights.
• Drives deals to increase growth and achieve desired outcomes, anticipating potential issues. Encourages customers and partners to apply and amend a value proposition in order to create a partnership. Influences internal stakeholders and partners and promotes the value of opportunities.

Negotiation

• Represents Microsoft in key customer and partner interactions, and defines the deal structure for scalable and durable solutions to complex business opportunities.
• Leverages deep understanding of risks, rewards, and negotiation skills to manage broad engagements across all business functions.
• Provides breakthrough ideas and collaborates to close strategic or high-impact opportunities in order to scale the business (e.g., cross-company, cross-product deals).
• Provides coaching and support to less experienced colleagues as a go-to resource for negotiation.

Deal Management/Governance

• Develops plans for managing deals, including communications, and reporting with Microsoft stakeholders. Resolves blocking issues using known techniques.
• Collaborates with customers, partners, and Microsoft colleagues to develop post-deal governance and ensure design, communication, and alignment in creation and implementation of execution plans across a portfolio of deals within a particular domain.
• Ensures customers and partners are prepared for implementation.
• Captures and shares learnings to improve future pipeline and business value communication.

• Embodies our

You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit:

Qualifications

• PhD in Machine Learning, Computer Science or related fields or equivalent experience.

Required

• Relevant years of experience working on a multidisciplinary team working on AI research for real world impact.
  
• Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
  
• Strong software development skills.

Preferred

• Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
  
• Experience with medical domains such as radiology, digital pathology, genetics, immunology.
  
• Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.

The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:

• Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes.
• Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI.
• Support the strategic planning of the team by providing engineering and research leadership.
• Engage with external and internal collaborators to drive real world impact.

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 5+ years people-management experience.
• Experiencehandling large data sets to reveal patterns, trends, and associations, from behavioral and interaction data to uncover important factors that can influence outcomes.
• Experience with one or more AI/ML algorithms and frameworks and their application to solve various business problems. Examples include causal inference, resampling techniques, mixed effects models, clustering, classification, significance tests, time-series modeling/forecasting, etc.

Additional or Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 7+ years people-management experience.

• Experience with Large Language Models (LLMs), prompt engineering, and Azure AI Application Programming Interfaces (APIs)
• Experience with Machine Learning Operations (MLOps) practices: containerization, infrastructure-as-code, monitoring
• Experience with multi-agent frameworks like AutoGen, Semantic Kernel, and Langchain
• Experience in debugging, security, and data protection principles

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 25, 2025.

• Demonstrate a commitment to Microsoft’s data security and privacy standards as the top priority in all analytics, reports, and solutions we develop.
• Lead large, complex projects to deliver accurate, accessible, secure and repeatable data products aligned to business and organizational needs and priorities that enhance our ability to inform marketing efforts, increase effectiveness of our approaches and deliver measurable outcomes.
• Demonstrate leadership in business and data landscape, visualizations, experimentation, and analysis to effectively communicate and support data driven decision making.
• Foster a team that embraces and lives Microsoft’s Culture and Values.
• Design and implement repeatable and scalable statistical and Machine Learning (ML) based frameworks to identify changes in behavior, business performance and other outcomes to help us make predictions and recommendations, set forecasts, identify anomalous activities, and understand outcome trajectory.
• Partner with Data Services on technical requirements to ensure adherence to security and compliance guidelines and enable data availability, data quality and integrity for data science, analytics and wider business self-service usage.
• Establish processes for the development of experimental methodologies, statistics, optimization, and probability theory for general purpose software and statistical packages. Leverages results from modeling and analyses to influence business and/or product strategy and leadership across teams.
• Deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others.
• Embody our and

SME&C is more than a sales organization—

a high level

As aStrategyinwill have theto own and lead a critical initiative named Reach Frequency YieldAs part of this initiative, you will have the opportunityto :

• Shape and executeRFYglobalstrategythatacceleratesSMB growth through our distributor, reseller,Managed Service Provider (MSP), Cloud Solution Providers (CSP), and partner networks.

• lobal Channel Partner Sales (GCPS)and Field Operating Units (OUs)—to drive alignment, innovation, and execution excellence.

• that drive RFY

• RFYdata-driven insights to informinternal stakeholders,

Required/minimum qualifications

• Bachelor's Degree in Business Administration, Marketing, Finance, Engineering, or related field AND 5+ years experience in business consulting, sales, sales operations, information technology (IT), account management, business development, marketing, IT field sales, or a related field
  • OR equivalent experience.
• 6+ years experience in in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance.
• Understanding of the channel partner ecosystem and business models (distribution, telecommunications (telcos), solution service providers, managed service providers, hosters, etc)

• 10+ years relevant sales experience with Information Technology products/services.
• 4+years experiencemanaging others.
• Ability to lead strategic initiatives, on a project like basis, including and informing field and core stakeholders, track and resolve problems, understand Rhythm of the Business (ROB) insights and produce data driven actions with the field and partners
• Ability to connect strategy with partners to broader growth initiatives like AI adoption, cloud migration, or security
• Ability to work cross cultures, cross organizations and navigate the ecosystem to drive strategic initiatives activation

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 20, 2025.

• Reach Frequency Yield (RFY)End-to-End Ownership – Driving Reach, Frequency, Yield across Partners:This role takes full ownership of the RFY model execution in SMB through our channel.Youwill embed RFY, insights, targets and reporting into all relevant rhythm
• Work with each Area/Operating Unit (OU) to setclear RFY objectivesfor distributors.Ensure theseobjectivesappear in partnerjoint businessplans, Go To Market(GTM) plansand tracking mechanisms are available to measure performance.
• Lead amonthly RFY business review cadencewith regional channel and SMB Leads. In these reviews,analyzeRFY dashboards (Reach/Freq/Yield by distributor, by telecommunications (telco),work with the Operating Units to understandbusiness insights,surfacewhat’sworking or not, and drive follow-up actions.Ensure RFY is includedin established rhythms like Monthly Business Reviews (MBRs) and Analyst Relations (IARs) with the right level of insights and reporting views.
• Act as the“RFY Champion”in all forums – landing the concept that RFY is “how we execute throughchannelin SMB”.Youwillproviderole-based guidance so that Partner Development Managers (PDMs), Product Marketing Managers (PMMs), Partner Solution Sales (PSS) andSMB Saleseachknowtheir part in improving RFY.
• Measure & Communicate Impact:Youwill track RFY metrics rigorously and connect them to business outcomes. This will influence further targeted execution with the regions to improve RFY and CSP growth.Drive monthly communication on RFY progress.
• Collaboration:Work closely with the landing and activation lead for RFY to ensure every role in the field is aware,knowledgeableand executing on RFY levers.Advise onfield practices that have potential to scale WW.
• InformRFYstrategy forthe followingfiscal year and connect it with our key execution levers by and cross solution area
• Beyond RFY:explore and define growth opportunitiesand planswith our partner ecosystem for SMB in telco, Managed Service Provider (MSP), Small Service Provider (SSP) space

• Other:

  • Embody our and

• Currently enrolled in a master or PhD program in Computer Science, Electrical Engineering, Mathematics or a related field.

• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.In addition to the qualifications above, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

• Ability to work independently and collaboratively in a dynamic and vibrant research environment.
• Willingness to embrace knowledge/technique outside your field of research.
• Solid programming skill in Python, PyTorch and experience conducting experiments and writing papers.
• Experience in LLM pre-training, post-training and inference.
• Reinforcement Learning experiences and frameworks (like VeRL, rLLM)
• Relevant publication such as CVPR, ACL, ICML, ICCV, ECCV, NeurIPS, ICLR, EMNLP etc.

Intern - MSR- The typical base pay range for this role across Canada is CAD $5,600 - CAD $10,000 per month.

Find additional pay information here:

• Research and Analysis: Conduct thorough research on emerging trends in LLM, prompt engineering, multimodal foundation model.
• Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.
• Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.