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Microsoft Senior Applied Scientist Taiwan, Taoyuan City 76997026
Today
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 4+ years of professional experience in ML including designing, developing, testing, and shipping software in a full software development lifecycle.
- Proficiency in Large Language Models (LLMs), including experience with training, fine-tuning, and deploying LLMs for various applications.
- Solid problem-solving skills and the ability to design approaches to solve significant business problems across groups and across disciplines.
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 Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Familiarity with state-of-the-art LLM architectures and techniques, such as transformer models, attention mechanisms, and transfer learning.
- Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Huggingface Transformers, Diffusers.
- Expertise in one or more subareas (e.g., Object Recognition, Text Classification) and a broad understanding of research areas.
- Fluency in Python, C# and Typescript.
Responsibilities
- Be a leader in the identification and evaluation of emerging AI Technologies, tools and methodologies. Champion their strategic application to enhance product performance, quality, scalability, and long-term business impact.
- Partner with researchers and product development teams to align cutting-edge research with product roadmaps. Ensure technologies translate into practical, scalable solutions that meet evolving business objectives.
- Bring new research-backed solutions and approaches into production by applying long-term research efforts to solve product needs.
- Provide deep technical expertise across design, analytics/modeling, dataset development, code reviews, development, quality assurance, and observability. Set standards and mentor teams in delivering robust, high-quality solutions.
- Help drive the team's strategic vision and align it with the overall company objectives.
- Foster a culture of inclusivity, disciplined engineering and data-driven decision-making. Promote best practices that drive innovation and business value.
- Create and sustain an effective team culture. We value and promote a high trust environment where we work closely and effectively with others.
- We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.
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