Post Doc Researcher - Artificial Intelligence jobs at Microsoft in Taiwan, Taoyuan City

The candidate will leverage external and internal data to identify talent pools, assess market feasibility, and uncover competitive trends. You will design and implement sourcing strategies that go beyond traditional methods—using intelligence to anticipate and track talent movement, research competitors and industry trends, and optimize our location strategies.

Required/minimum qualifications

• Bachelor's Degree AND 6+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of talent and market intelligence experience

Additional or preferred qualifications

• Bachelor's Degree AND 12+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR Master's Degree AND 8+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
  • OR equivalent experience.
• 4+ years of market research to map and track talent, key competitors, and industry trends.
• 4+ years of documenting and delivering actionable insights of market research to formulate a differential sourcing strategy.

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.

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.

As an
Industry Advisor for Defence and Intelligence, you will play a pivotal role in driving digital transformation and innovation across the Defense and Intelligence industry. Your mission is to engage with executive-level stakeholders to co-create strategies that unlock new revenue streams, optimise operations, and deliver hyper-personalised experiences through cutting-edge technologies.

You will bring deep domain expertise in the Japanese Defence Industry , with a strong understanding of industry-specific applications for AI and digital in the Defence ecosystem. Your insights will help shape transformation strategies that align with broader business goals and industry trends.

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 10+ years customer-facing experience in the Defence Industry

• OR Master's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 8+ years customer-facing experience in the Defence Industry

• OR equivalent experience.

Key Responsibilities

• Strategic Engagement : Act as a trusted advisor to C-level decision-makers, identifying innovation opportunities and aligning technology capabilities to industry-specific challenges.
• Digital Transformation Leadership : Guide customers through the adoption of AI, cloud, and data-driven solutions to modernise legacy systems, enable predictive operations, and accelerate time-to-market for new services.
• Sales Enablement : Lead industry-focused sales motions, support account planning, and contribute to pipeline growth through thought leadership and customer co-innovation.
• Ecosystem Collaboration : Partner with ISVs, SIs, and infrastructure providers to scale industry solutions across the WWPS landscape.
• Knowledge Sharing : Translate complex industry trends into actionable insights for internal teams, helping shape go-to-market strategies and solution development.

Planning & Engagement

• Acts as the industry expert in digital transformation account planning, driving engagement with internal/external stakeholders (e.g., Key Business Leaders, GSIs, ISVs).
• Provides thought leadership on global industry trends to activate and evangelize Microsoft strategies in local markets and key accounts.
• Leads relationship and stakeholder mapping to identify influential decision makers, accelerating account maturation and strategic alignment.
• Owns multi-horizon planning, creating segment-focused roadmaps based on business and technology priorities.
• Builds influential relationships with executive-level decision makers, positioning Microsoft as a strategic partner.
• Navigates complex environments to ensure alignment and execution of account roadmaps, regularly communicating as a thought leader.

Sales Execution

• Identifies solution opportunities and gaps based on customer needs and priorities.
• Advances high-impact, repeatable use cases and scenarios for reuse across customers and solution plays.
• Envisions new product scenarios and works with product teams to address white spaces.
• Accelerates solution plays with an industry narrative, leveraging expertise to drive innovative opportunities.
• Leads strategic discussions with board-level and senior executive stakeholders to design end states aligned with customer goals.
• Shapes strategy by providing long-term recommendations and building compelling business-value cases for Microsoft solutions.
• Recognized as a trusted advisor, guiding senior decision makers through consultative selling and strong financial business cases.

Collaboration & Partner Management

• Engages with Business Strategy Leads, Business Decision Makers, and Partner Development Managers to orchestrate customer opportunities.
• Collaborates with Industry Solutions Delivery, solution architects, and external stakeholders to design envisioned solutions.
• Drives go-to-market strategy and formal partnerships, articulating the case for developing solutions on Microsoft cloud.
• Shares consultative selling approaches and best practices, guiding account teams and prioritizing scalable opportunities.

Industry Expertise

• Completes required training and certifications, acting as a subject matter expert and thought leader.
• Shares industry depth, trends, and policy implications, providing recommendations and feedback across teams.
• Proactively seeks additional training to build career competencies and industry-specific expertise.

• 2-3 years of experience in security research, detection engineering, threat lifecycle, cloud security in large-scale in complex cloud environments, as well as disciplines related to managed services for SIEM platforms.
• Proven ability to execute advanced research on emerging cloud-based threats affecting both Microsoft and third-party security products across heterogeneous cloud environments.
• Demonstrated experience in developing and refining detection and response strategies leveraging major SIEM platforms, with a strong emphasis on Microsoft Sentinel, to provide comprehensive threat coverage and response capabilities.
• Extensive hands-on experience with cloud platforms—including, but not limited to, Azure—as well as an understanding of multi-cloud security challenges and solutions.
• Strong practical experience identifying, analyzing, and mitigating real-world cyber threats in complex cloud environments.
• Proven ability to work independently and deliver complete solutions.
• Demonstrated capability to effectively articulate technical insights and influence multidisciplinary teams

Responsibilities include:

• Execute advanced research on emerging cloud-based threats impacting Microsoft and third-party security products across heterogeneous cloud environments.

• Develop and refine detection and response strategies leveraging major SIEM platforms, with a strong emphasis on Microsoft Sentinel, to provide comprehensive threat coverage and response capabilities.

• Collaborate with internal and external security teams to implement scalable, innovative solutions for multi-cloud threat intelligence, detection, mitigation and response.

• Translate complex raw security data into actionable intelligence that enhances the effectiveness of cloud security operations for a global customer base.

• Mentor, guide, and drive best practices among researchers and detection engineers on advanced threat hunting and incident response across diverse SIEM ecosystems.

• Contribute to industry knowledge and Microsoft’s security posture by publishing research, developing threat models, and proactively identifying threats and attack trends in the cloud.

and looking for a Researcher in Foundation Model innovations (LLM, Vision, Multi-modality, etc.), Deep Learning and Reinforcement Learning Foundation, AI for Healthcare, Embodied AI and Robotics, Societal AI, Industrial AI application, etc.

• Doctorate in relevant field AND 1+ year(s) related research experience OR equivalent experience.
• Experience developing AI solutions for real-world industry applications.
• Experience publishing academic papers as a lead author or essential contributor.
• Deep knowledge about latest large foundation models and their applications
• Strong communication skills to engage with various collaborators both externally and internally
• Keen interest in general AI research, including but not limited to large foundation models, generative AI, multimodal learning, resource-efficient learning and Industry AI.

• Conduct cutting-edge research in large foundation models and generative AI, focusing on applying large foundation models and generative AI in real-world industrial scenarios.
• Collaborate with cross-functional teams to develop AI solutions to address real-world problems in various industry sectors.
• Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development.
• Publish research findings in top-tier conferences and journals and present your work at industry events.
• Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.

We are seeking multiple Research Interns working on artificial intelligence projects, with a wide range of potential topics ranging from multimodality, world model to LLM and computer vision. You will be working with MSR researchers across Vancouver lab, Redmond lab, Beijing lab and beyond to shape and develop the next generation of artificial intelligence. We support Research Interns to explore various sectors of artificial intelligence, as long as they align well with Vancouver’s lab or the whole MSR mission.

We encourage students with diverse research backgrounds broadly lie in artificial intelligence, including but not limited to multimodality, AI4Code, NLP, LLM, robotics, agents and computer vision, to apply for this position.

• Currently enrolled in a Master or Ph.D. program in Computer Science, Electrical Engineering, Mathematics or a related field.

Other Requirements

• 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 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, including prototyping, implementation and optimization.
• Experience in LLM pre-training, post-training and inference (like Megatron framework).
• Experience in world model, multimodality and AI4Code.
• Reinforcement Learning experiences and frameworks (like VeRL, rLLM)
• Proven publication track such as CVPR, ACL, ICML, ICCV, ECCV, NeurIPS, ICLR, RSS 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:

• Conduct research on state-of-the-art artificial intelligence methodologies and identify new opportunities to advance artificial intelligence from various aspects.
• Leverage interdisciplinary expertise and knowledge across NLP, LLM, computer vision, and other related domains to accelerate innovation in artificial intelligence.
• Develop, prototype, and optimize novel methodologies to tackle the core challenges of artificial intelligence.
• Disseminate research findings through publications in peer-reviewed journals, top-tier conferences, and other relevant venues, and present results both internally and externally.
• Collaborate with researchers at MSR or Microsoft and beyond to advance and propel the research process.