Microsoft Applied Scientist II / Senior 

Taiwan, Taoyuan City 

545847840

advanced machine learning and information retrieval to predict andmemory content, representation, and lifecycle

You will work at the forefront of applied AI and machine learning, shaping the future of intelligent productivity tools.ontribute to a culture of innovation, continuous learning, and experimentation.

AI, automation, and deep platform integration.

More about your Responsibilities

cutting edgeIn particular we

via presentations, publications, media interviews, and similar). Come to define, design, and deliver what enterprise cloud productivity means.

, you will help transform howengineers, PMs, and fellow scientists.work on the data generation platform that creates algorithms and ML pipelines for simulating user actions andthat reflect real-world usage and userpreferences anddevelop metrics that go beyond accuracycapturing nuance, intent, and satisfaction.work on scalable pipelines that support offline evaluations fortechnologies, shape how AI quality is measured at scale, build critical skills in the AI-era, and rapidly grow your career.

By applying to this position, you will be considered for multiple similar positions within our organization for an invitation-only virtual interview day. Position specifics, including hiring team, location, and position details, will be determined following the interview process.

Main qualifications:

• Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.
• 4+ years of experience in predictive analytics, statistics, or research.
• Experience with synthetic data generation and data management for evaluation/training.
• At least one year of experience publishing patents or peer-reviewed papers.
• Deep motivation for user-centric AI and interest in human cognition, memory, and AI.
• Global collaboration is integral to our work at Microsoft, and proficiency in English is essential for effective communication in this role.

Preferred qualifications:

• Master’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field.
• Experience with large-scale embedding models and transformer architectures.
• Familiarity with reinforcement learning and distributed computing platforms (e.g., Heron, AML, Euclid).
• Proficientanalytical skills and experience with telemetry and performance metrics.
• DevOps experience and cloud services knowledge (Azure preferred).
• Agile development experience and a structured approach to software design.

Interpersonal skills:

• Growth mindset with resilience and a passion for learning.
• Commitment to diversity, inclusion, and authentic collaboration.
• Effective communicationskills with the ability to engage diverse audiences.
• Ownership mindset with the ability to deliver results and manage expectations.
• Self-motivated and collaborative across teams and organizations.

• Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.

• Write production-quality code, apply debugging best practices, and stay current with industry trends.

• Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.

• Collaborate cross-functionally to define success metrics and improve AI quality at scale.

• Lead research projects that yield new algorithms, tools, or insights solving open problems.

• Analyze evaluation outputs toidentifygaps in coverage, quality, and usability.

• Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.

• Work with large-scale data while championing privacy and compliance.

• identifypain points and drive impactful improvements.

• Stay engaged with the latest research and foster a strong applied science culture. Publishing is encouraged.