דרושים Threat Intelligence Analyst ב-Microsoft ב-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.

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.

• 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.

• 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.

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.

Required

• Be enrolled in a PhD program in a relevant field (e.g. ML, Computer Science, Mathematics, Physics).
• One or more top-tier ML publication.
• Ability to clearly communicate research ideas and results to a diverse audience.

Preferred

• Strong ML coding and engineering skills.

Responsibilities

• Contribute to a highly ambitious research agenda within ML that lays the groundwork for advancements across a wide range of scientific and technological domains.
• Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in ML.
• Analyze experimental results and evaluation metrics, conduct case studies propose and evaluate research hypotheses.
• Prepare technical papers, presentations, and open-source releases of research code

Required Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 4+ years experience in technical architect, technical consulting, design and implementation, and/or technical sales with at least 2 years focused on AI/ML solutions.
• 1+ year(s) deep expertise in Azure AI services and familiarity with open-source AI/ML frameworks.
• 1+ year(s) strong programming skills in Python and/or JavaScript, with experience building and deploying AI models.
• 1+ years(s) proven track record of working with startups or fast-paced product teams.

Other Requirements:

• to meet Microsoft, customer and/or government security screening requirementsarerequired for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position willbe requiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in a technical architect, consulting, design and implementation, and/or sales with at least 4+ years focused on AI/ML solutions.
• 2+ years experience working in a customer-facing role (e.g., internal and/or external).
• 1+ year(s) experience mentoring or advising startup teams on technical strategy.

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 16, 2025.

• Design and deliver AI-powered solutions using Azure AI services (e.g., AI Foundry, Azure OpenAI, Speech, Cognitive Services and Responsible AI).
• Collaborate with startup founders and engineering teams to understand their product vision and translate it into scalable cloud-native AI architectures.
• Lead workshops, design sessions, and build proofs-of-concept (PoC) to demonstrate the value of AI and cloud services in startup scenarios.
• Work closely with Microsoft for Startups technical enablement and go-to-market teams and Microsoft product and engineering to align startup needs with Microsoft’s AI and cloud strategy.
• Represent Microsoft for Startups at regional startup events. Develop and present relevant technical and industry related content and present to large and small audiences.
• Leverages development opportunities (e.g., mentorships, role-based resources, trainings, internal events such as Build) to learn new technologies and startup ecosystem trends and share learnings internally and externally.
• Shares ideas, insights, and technical input with team members using a working knowledge of specific Microsoft products and programs.