Senior Research Engineer at Microsoft

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

03 Apr, 26

Salary

0.0

Posted On

03 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning, Programming, Algorithm Design, Data Analysis, Research Methodologies, Collaboration, Communication, Mentoring, Problem Solving, Ethical Practices, Model Performance, Dataset Preparation, Generative AI

Industry

Software Development

Description

Overview 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. Responsibilities As a team member of Applied Science Group, you will solve real-world problems and propose new AI features in the field of trustworthy AI, SLM/LLM, generative AI, and computer vision. Your responsibilities include the following: 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. Qualifications Required Qualifications: 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. Preferred Qualifications: 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. #W+DJOBS This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

As a Senior Research Engineer, you will solve real-world problems and propose new AI features in trustworthy AI, SLM/LLM, generative AI, and computer vision. You will apply state-of-the-art research to product needs and ensure ethical and scalable data practices.