Deal Analytics Mba Internship Opportunity - Xbox 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.

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.

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.

Minimum Qualifications

• Emirati National holding UAE Family Book
• Emirati nationality
• Legally authorized to work in UAE (Legally authorized = Has citizenship or has been granted a valid visa or work permit)

• Currently pursuing complete a Bachelor's/ Master's Degree in Information Technology (IT), Computer Science, Engineering, Business Administration, Business, or related field (OR must be recent graduates or recently graduated).
• Fluency in English.

Preferred Qualifications

• Passion for technology and customer obsessed.
• Excellent verbal and written communication, analytical and presentation skills.
• Strong Desire and business acumen for consultative solution selling.
• Exceptional negotiation, customer service, and interpersonal skills

Program Details: The 6 months, full-timeprogram is divided into two key phases (Phase 1 - Onboarding & Skilling, Phase 2 - On The Job Training)

Phase one:Onboarding & Skilling Bootcamp (1 month)

• Onboarding and introduction to Microsoft’s mission, culture, strategy & structure.
• Technical skilling to obtain globally recognized Microsoft technical certifications.
• Professional and soft skilling courses including project management, change management, effective interpersonal skills, creativity and innovation, and time management.

Phase two:On-the-job training (5 months)

• Joining as an Account Management Intern for on-the-job shadowing and training.
• Mentorship and coaching sessions.
• Supporting Microsoft teams in digital transformation projects.
• Advanced technology trainings including AI, Machine Learning & Cloud Computing.

Responsibilities:

• You seek feedback from customers to understand the drivers of satisfaction and establish action plans to improve their overall experience.
• You orchestrate extended virtual teams and key stakeholders to engage decision makers of assigned accounts.
• You share and recommend Microsoft solutions to customers, and develop value-proposition presentations and specialized business plans for customers that drive business outcomes to generate business and upsells.
• You develop strategies to secure buy-in and execution of plans and aim to identify new opportunities within assigned accounts.
• You coordinate with internal industry experts to gather industry data of assigned accounts and improve planning.

is responsible fora differentiated

• • 3 years technical pre-sales or technical consulting experience
  • ORBachelor's Degree in Computer Science, Information Technology, or related field AND 1-3 years technical pre-sales or technical consulting experience
  • ORMaster's Degree in Computer Science, Information Technology, or related field AND 1-3 year(s) technical pre-sales or technical consulting experience
  • ORequivalentexperience
  • Experience in cloud/infrastructure technologies, with a specific focus onData and Analyticstechnologies and good knowledgeAI.
  • Experienceacquired

Required Technical Skills

• Deep Domain Expertise in Azure Analytics & Database Areas: Domain expertise in one of the Azure Analytics & Database specific areas OR hands-on experience working with the respective products at the expert level.
• Microsoft Fabric, Power BI, Power BI embedded, Azure Analysis Services, Azure Databricks, Azure Data Lake, Azure Synapse
• Cosmos DB, Mongo DB, PostgreSQL
• Architecting Enterprise-Grade Solutions: The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc. Proven experience building enterprise-grade, Analytics -focused solutions on the cloud (Azure, AWS, GCP, Snowflake, Databricks) for customers, from Minimum Viable Products (MVPs) leading to production deployments.

Addition preferred skills

• Programming Languages and Integration: Knowledge with Spark, Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Azure Container Apps, Docker, API Management).
• Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks)
• ML & ML Ops, knowledge on GenAI Apps & LLM Ops
• Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets. Also, knowledge including ethical considerations, bias mitigation, and fairness.
• Competitive Landscape: Understanding the competitive landscape is valuable, candidates should be aware of key Analytics platforms beyond Azure, such as AWS and GCP.
• Soft Skills are also critical to be successful in that job : Creative Thinking, Active Listening, oral and written communication more particularly.

• Customer Centricity

• Play a pivotal role in the Analytics & AI Factory, providing technical enablement, operational support, and strategic engagement across customer projects. This role is designed to ensure successful delivery of Data and Analytics solutions, troubleshoot complex issues, and support innovation through pilot evaluations and advanced use case development. Understand customers' overall data estate, business priorities, and IT success measures.
• Understand customers’ overall Data estate Business and IT priorities and success measures to design Data platforms that drive business value.
• Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units. Attend in-flight project status meetings to monitor progress and identify support needs. Engage directly with complex or non-standard customer use cases beyond existing accelerators. Participate in intake reviews for milestone sizing, objection handling, and technical scoping.
• Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor.
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
• Customer/Partner Insights – Provide feedback & insights from customers/partners.

• Business Impact

• Ability to convey the business need and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy
• Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.
• Resolution of Customer Blockers - Identify resolutions to Customer blockers by leveraging SA subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP)
• Identify and contribute repeatable IP and assets that create velocity in deployment and drives customer value. Continuously look to improve upon these assets utilizing the best of field inputs. Evaluate pilot opportunities for potential integration into existing offerings.
• Architect Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Data and Analytics platforms roadmaps, lead POCs and MVPs, and ensure long-term technical viability.

• Technical Leadership

• Ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies
• Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
• Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.
• Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes.
• Embody our and .

Program Track: Software Engineering

Depending on your qualifications and interests, you will work on challenging and meaningful projects that align with your career goals in software engineering.

Coaching and Mentorship

Throughout the program, you will be assigned coaches and mentors who will provide guidance, support, and valuable insights to help you grow both professionally and personally.

Type of Employment: Internship

برنامج "إجنايت" للأشخاص ذوي الإعاقة هو مبادرة تنموية مدتها عام واحد تهدف إلى توفير تجربة عمل واقعية مباشرة في عالم الشركات مع تلقي التوجيه من قادة استثنائيين.

الهدف الأساسي للبرنامج هو تعزيز قدر أكبر من الإدماج داخل كل من منظمتنا والمجتمع الأوسع. وهو يوفر للأشخاص ذوي الإعاقة فرصة لتعزيز مهاراتهم التقنية والشخصية، وبالتالي تزويدهم بميزة تنافسية لفرص العمل المستقبلية، داخل وخارج مايكروسوفت، عند الانتهاء من البرنامج.

سيتم تعيين المشاركين في أدوار قائمة على المشاريع تساهم بشكل كبير في أهداف أعمالنا و / أو تعزز العمليات الحالية.

يرجى ملاحظة أن الأفراد ذوي الإعاقة فقط هم المؤهلون للمشاركة في برنامج التطوير هذا. إذا لم تكن جزءا من هذاالمجتمع ،فنحن نشجعك على استكشاف

مسار البرنامج: هندسة البرمجيات

اعتمادا على مؤهلاتكواهتماماتك ،ستعمل على مشاريعمليئة بالتحدياتوذات مغزى تتوافق مع أهدافك المهنية في هندسة البرمجيات.

كموظفين ،نجتمع بعقلية النمو ، ونبتكر لتمكين الآخرين ، ونتعاون لتحقيق أهدافنا المشتركة. نبني كل يوم على قيمنا المتمثلة في الاحترام والنزاهة والمساءلة لخلق ثقافة الإدماج حيث يمكن للجميع الازدهار في العمل.

التدريب والإرشاد

البرنامج ،سيتم تعيين مدربين وموجهين يقدمون لك التوجيه والدعم والرؤى القيمة لمساعدتك على النمو مهنيا وشخصيا.

نوع العمل: تدريب داخلي

هل أنت مستعد للانضمام إلينا وصنع المستقبل؟ تعال كماأنت ،

• A bachelor’s degree in computer science, software engineering, computer engineering, or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
  
• Preferably if you have experience in building and maintaining reliable and scalable services/platforms, experience with production scale distributed systems, and experience in building machine learning/deep learning systems.

• درجة البكالوريوس في علوم الكمبيوتر أو هندسة البرمجيات أو هندسة الكمبيوتر أو المجال التقني ذي الصلة وخبرة الهندسة التقنية مع الترميز باللغات بما فيذلك ،على سبيل المثال لا الحصر ، C أو C ++ أو C # أو Java أو Python.

• يفضل أن يكون لديك خبرة في بناء وصيانة خدمات / منصات موثوقة وقابلةللتطوير ،وخبرة في الأنظمة الموزعة على نطاق الإنتاج ، وخبرة في بناء أنظمة التعلم الآلي / التعلم العميق.مايكروسوفت هي صاحب عمل تكافؤ الفرص. سيتلقى جميع المتقدمين المؤهلين النظر في التوظيف بغض النظر عنالعمرأو النسب أو اللون أو إجازة الرعاية العائلية أو الطبية أو الهوية الجنسية أو التعبير أو المعلومات الجينية أو الحالة الاجتماعية أو الحالة الطبية أو الأصل القومي أو الإعاقة الجسدية أو العقلية أو الانتماء السياسي أو حالة المحاربين القدامى المحمية أو العرق أو الدين أو الجنس (بما في ذلك الحمل) أو التوجه الجنسي أو أي خاصية أخرى تحميها القوانين واللوائح والمراسيم المعمول بها. إذا كنت بحاجة إلى مساعدة و / أو ترتيبات تيسيرية معقولة بسبب إعاقة أثناء تقديم الطلب أو عمليةالتوظيف ،فيرجى إرسال طلب عبر

• Design, develop, test, and deploy software solutions that enhance Microsoft products and services.
• Collaborate with other engineers, product managers, and designers to deliver high-quality code and user experiences.
• Learn from senior mentors and experts in the field of machine learning and distributed systems.

Learning Opportunities

• Life as a Programmer : Understanding the daily responsibilities, challenges, and skill sharpening for programmers.
• Software Development: Exploring roles, tools, processes, and customer delivery in software development.
• Tools of the Trade: Learning about version control systems, code repositories, libraries, frameworks, and IDEs.
• Programming Languages : Basics of programming languages, source code, variables, and statements.
• Python Show and Tell: Introduction to Python, syntax, decision making, functions, and real-world applications.
• Exploring Different Languages: Comparing programming languages, their applications, and picking the right one.
• Your First Programming Job: Navigating the hiring process, building a portfolio, preparing for interviews, and succeeding in the job.

• وخدماتهاوتطويرها واختبارها ونشرها.

• تعاون مع المهندسين ومديري المنتجات والمصممين الآخرين لتقديم تعليمات برمجية عالية الجودةوتطويرتجاربالمستخدم.

• تعلم من كبار الموجهين والخبراء في مجال التعلم الآلي والأنظمة الموزعة.

فرص التعلم

• الحياة كمبرمج: فهم المسؤوليات اليومية والتحديات وشحذ المهارات للمبرمجين.

• تطوير البرمجيات: استكشاف الأدوار والأدوات والعمليات وتسليم العملاء في تطوير البرمجيات.

• أدوات التجارة: التعرف على أنظمة التحكم في الإصدار ومستودعات التعليمات البرمجية والمكتبات والأطروIDEs

• لغات البرمجة: أساسيات لغاتالبرمجةوشفرة المصدر والمتغيرات والعبارات.

• Python Show and Tell: مقدمة فيPython ،وبناء الجملة ، واتخاذ القرار ، والوظائف ، وتطبيقات العالم الحقيقي.

• استكشاف لغات مختلفة: مقارنة لغات البرمجة وتطبيقاتها واختيار اللغة المناسبة.

• وظيفتك الأولى في البرمجة: التنقل في عمليةالتوظيف ،وبناءملفالإنجازاتالشخصية، والتحضير للمقابلات ، والنجاح في الوظيفة.

This position is intended for recent graduates who completed/will complete their MBA degree between 2025.9-2026.8.

As an MBA Account Manager, you will develop and oversee the execution of account plans for multiple accounts and work to ensure engagements yield high volume sales for both Microsoft and the customers that are on track with goals, budgets, and forecasts. You will understand customer drivers of digital transformation and leverage your understanding to engage internal teams to accelerate the customer's digital transformation and strategy. As an Account Manager you will cultivate relationships and use Microsoft sales strategies throughout multiple levels of the customer's organization to establish strong alignment on long-term goals and secure buy in and execution.

Required Qualifications

• Currently pursuing or have completed a Master of Business Administration (MBA) degree AND 2+ year(s) experience working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education) and/or driving digital transformation.

Preferred Qualifications

• Currently pursuing or have completed a Master of Business Administration (MBA) degree (or pursuing) AND 3+ year(s) experience working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education) and/or driving digital transformation.

• Builds and maintains relationship with executives and business and technical decision makers at high levels of the customer's organization through consultative engagement to establish trust and credibility in future interactions. Continues to build reputation with customers during interactions by being customer-focused, consistently honoring commitments, explaining technical concepts relevant to the customer, and connecting the customer to Microsoft executives. Leverages selling methods (e.g., digital) to network and create a pipeline, consume account-based marketing outputs, and reflect the engagement strategy in our customer plan.
• Manages and executes plans utilizing common sales and delivery methodology for the Microsoft sales organization for multiple accounts to ensure Microsoft targets and customer business needs are met. Coordinates with extended virtual teams and holds self and the team accountable for executing on plans and meeting customer needs. Outlines revenue targets to deliver on account plans. Orchestrates extended team and embraces partners to scale business. Ensures achievement of revenue and consumption targets and drives integrated joint account governance through customer plan on regular frequency. Identifies initial stakeholders, customer needs, and customer priorities. Proposes initial Solutions/Sales Plays.
• Seeks customer feedback (both formal and informal) of assigned accounts to identify and understand the drivers of satisfaction and/or dissatisfaction. Leverages internal resources to support customer needs. Orchestrates others (e.g., Customer Success Account Management [CSAM]) to anticipate issues/risks on customer satisfaction, determine the root cause of problems, remove blockers, and establish recovery action plans as need to improve customers' overall experience. Proactively establishes agreement on success measures and manages execution on success measures to prevent need for recovery plans.
• Builds and maintains knowledge of Microsoft offerings, as well as of customer business priorities and basic industry trends to positively articulate the value of Microsoft's offerings in addressing the needs of the assigned accounts and evaluating their business. Coordinates with internal industry experts (e.g., industry teams) to gather industry data of assigned accounts and improve planning.