Finance Fall Co-op Internship Opportunities jobs at Microsoft in 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.

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.

Required Qualifications

• Currently pursuing aPhD/ Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
• Must have at least three additional semesters of school remaining (graduation date 2027 or later)
• Solid background in machine learning, deep learning, language models and optimization.

Preferred Qualifications

• Currently pursuing a PhD inComputer Science, Engineering, Data Science, Mathematics, or related field.
• Proficiency in Python and experience with PyTorch, TensorFlow and ONNX.
• Research or hands-on experience in efficient model architecture and model compression techniques (quantization, pruning, distillation, etc.).
• Research or hands-on experience with language models (e.g., BERT, LLaMA, GPT).
• Publications in top-tier relevant ML venues (e.g., NeurIPS, ICML, ACL, or ICLR).
• Previous industry experience as a Data Scientist / Intern.
• Solid background in machine learning, deep learning, language models and optimization.
• Strong analytical thinking and independent research capabilities.
• Excellent communication, collaboration, and writing skills.

• Design, implement, and evaluate methods to enable efficient, secure and optimized deployment of AI models on edge or resource-constrained platforms.
• Drive innovation and practical research, iteratively improving solutions based on empirical results, working with large-scale textual datasets.
• Document research findings and contribute to publications, open-source projects, or patent filings as appropriate.
• Formulate approaches to solve problems using well defined algorithms and data sources
• Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
• Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.

• Apply deep analytical thinking and finance acumento solve business problems,utilizingfinancial modeling to deliver actionable insights.
• Leverage AI tools and data mining/querying methods to enhance the speed and quality of financial analysis, while actively learning andrecommendingprocessimprovementsforreporting and data collection.
• Communicate analysis clearlyand logicallytodriverecommendations and decision-making.
• Conduct comprehensive reviewsoffinancial documentation, ensuring accuracy and compliance with company policies and regulatory standards.
• Embodyourand.

Finance Manager-Windows Ecosystemwith solidstrategy and success for Windowsand Surface. You will have the opportunity to engage directly with the engineeringand Surfaceand data scientistsderiving insights from our

This cross functional rolepartner with the Windowsand Surface, create frameworks to drive growth, and. You will have the opportunity to use data, productfeatures built into Windows

Finance Managersits on the Windowsowns Windows PostSale Monetization (PSM)Ecosystem HealthLong RangePlanning (LRP)(including Game Pass, Search, Ads, News, and Commercialacross the ecosystem, shape theWindows and Surfaceto deliverthe Windows platform

growth mindset mentality.

hybrid work model

you’ll enjoy the best of both worlds:Three days a week in office

Required/minimum qualifications

• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related fieldOR
  • Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.
• 3+ years experience leveraging data insights and financial frameworks to influence product features and drive growth.

• Collaborate with Windows Data on deriving insights into Windows Ecosystem

• Partner withWindows andSurfaceteamson portfolio health

• Evaluate initiative performancerelativeto expectations and

• utilizefor strategy and marketing

• Embody our

Business Development Manager intern, you will drive quality engagements by planning, structuring, and negotiating with strategic partners to deliver successby promoting and enabling creative

We workgames and services to players.

Required Qualifications:

• Currently pursuing Master of Business Administration (MBA) degree
• Must have at least oneadditionalsemester/term of schoolremainingfollowing the completion of the internship
• 3+ years of experience in business development, strategic partnerships, consulting, or a related field OR equivalent experience

Preferred Qualifications:

• Familiarity with video games, gaming platforms, and trends in the video game industry.
• Demonstrated expererience in research, analytical thinking, and problem-solving.
• Ability to manage multiple tasks and priorities in a structured and timely manner

The base pay range for this internship is USD $5670.00 - $11320.00 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 $7470.00 - $12350.00 per month.

• Develops internal and external relationships toestablish

• identifiesactions based on insights.

• Works with stakeholders to develop target customer/partner list to close high-priority gaps across technology, product, business, and/or geography.

• Operational Support: Coordinate meetings, events, and communications with partners;maintainand improve the efficiency of tracking systems and databases.

Required Qualifications

• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field
  • OR equivalent experience
• 2 years of experience building Excel models and leveraging financial systems for accurate analysis and reporting.

Preferred Qualifications

• Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years of post-graduate financial analysis, accounting, controllership, or finance work experienceOR Bachelor's degreein Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years of post-graduate financial analysis, accounting, controllership or finance work experience
  • OR equivalent experience
• Technology, investment banking, or strategy consulting experience preferred
• Excel modeling capabilities and ability to work with financial systems.
• Passionate about the technology industry, and ability to engage in technical discussions
• Ability to deal with ambiguity and uncertainty in fast evolving business.
• Comfort working at multiple altitudes, from strategic/high-level projects to detailed analysis
• Business partnership experience across multi-disciplinary teams, with ability to influence others
• High level of self-motivation; ability to quickly identify what needs to be accomplished and resourcefulness to get things done

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

The main responsibilities include:

• Analyzing local and global cloud market and competitive dynamic trends to guide important decision making for our finance, engineering, and sale leadership.
• Performing analysis across investments, margins, cost structure, and other KPIs
• Support peer teams on decision making with research into peer financial disclosures, targeting differentiation reported in quarterly earnings calls, 10Ks, 10Qs, and S-1 filings
• Leading our product portfolio analysis, identifying gaps and opportunities to improve and compete, as well as defining strategies with engineering teams to close any potential gaps
• Be a strategic advisor to team members on their projects. Help shape effective approaches and support them in creating clear framework that tackles the project problem statements. Help ensure outcomes are socialized appropriately, and actions are followed up on
• Bring thought leadership on how we can be more efficient in collecting and socializing market updates from sources such as news and announcement events
• Embody our