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Applied Sciences Group (ASG) is Microsoft’s interdisciplinary research and engineering organization that delivers AI‑powered experiences and models across Windows, Microsoft 365, and Copilot—while incubating novel devices, agent platforms, and on‑device AI capabilities. From small language models (SLMs) and the Windows Copilot Runtime to Windows Hello, Recall, Paint/Photos AI, and context‑ and memory‑driven agent services, ASG combines full‑stack AI, sensing technologies, and hardware/software co‑design to reinvent human–computer interaction and enable secure, compliant, high‑performance on‑device AI at scale. We are seeking a Senior Research Engineer to join the ASG Taipei science team: an exceptional group of scientists and engineers driven to tackle real‑world challenges and transform state‑of‑the‑art (SOTA) AI research into impactful user‑facing features and products. The ideal candidate brings strong AI research expertise, refined engineering craftsmanship, and most importantly a growth mindset to adapt, learn, and excel in a fast‑evolving domain.
Job Responsibility:
Apply SOTA research to product needs, driving technology transfer, solution design, and measurable product impact
Leverage advanced applied research expertise (SLM/LLM, ML, CV) to select methods, improve product quality, and incorporate industry‑leading approaches
Develop team and community capability through mentoring, presentation and communication, and collaboration among groups and potentially with academia
Ensure rigorous, ethical, and scalable data & model practices, including documentation, bias mitigation, dataset preparation, ML pipelines, and production model performance
Requirements:
Master’s or Ph.D. degree in Computer Science, Electrical/Computer Engineering, Information Technology, or a related field, with strong foundation in statistics, machine learning, and applied research methodologies
4+ years of hands-on programming experience in one or more languages such as C++, C#, or Python, with demonstrated ability to design, implement, and improve algorithms at scale
3+ years of research or applied science experience in SLM or LLM, Machine Learning, Deep Learning, Computer Vision, or related areas
Proven problem‑solving capability, including developing research‑backed solutions, conducting experimentation, and driving data‑driven decisions. Strong collaboration, communication, and leadership skills with high impact
Ability to work independently in ambiguous problem spaces, quickly ramp up in new technical areas, and help lead projects from ideation to implementation
Nice to have:
Experience developing multimodal SLM/LLM models or working across deep learning, computer vision, and graphics domains, with familiarity in applying research to real‑world system constraints
Strong publication record in top-tier conferences or journals (e.g., CVPR, ICCV, ECCV, ICML, NeurIPS, SIGGRAPH), demonstrating ability to generate novel research and contribute to the academic community
Proficiency with industry‑standard deep learning frameworks (e.g., PyTorch) and experience building or leveraging data pipelines and modeling environments for experimentation and model training