The Microsoft Copilot Studio Applied Science and Research team is looking for a Machine Learning Engineer II to contribute to the development and integration of cutting-edge AI technologies into Microsoft Copilot Studio, ensuring they are inclusive, ethical, and impactful. The role aims to solve complex problems by applying expertise in machine learning, data science, and software engineering, directly influencing product quality and customer experiences.
Requirements
- 5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
- Implement machine learning algorithms, large-scale model fine-tuning, especially with closed and open source LLMs, SLMs, multimodal or task-specific models to solve real-world customer problems and deliver measurable product and customer impact.
- Develop frameworks to assess model performance, monitor model behavior, conduct systematic benchmarking, and address identified weaknesses while ensuring compliance with customer standards.
- Write production codes and debug complex distributed systems.
- Provide subject matter expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models, reinforcement learning) to help translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
- Demonstrate an understanding of small and large language models (SLMs and LLMs) architecture and optimization techniques to adapt out-of-the-box solutions to particular business problems.
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
Responsibilities
- Build and maintain internal tools to streamline model fine-tuning and evaluation workflows and automate repetitive tasks within secure development environments.
- Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.
- Implement machine learning algorithms, large-scale model fine-tuning, especially with closed and open source LLMs, SLMs, multimodal or task-specific models to solve real-world customer problems and deliver measurable product and customer impact.
- Contribute to or enhance existing innovations by refining models and training techniques through iterative improvements.
- Develop frameworks to assess model performance, monitor model behavior, conduct systematic benchmarking, and address identified weaknesses while ensuring compliance with customer standards.
- Write production codes and debug complex distributed systems.
- Provide subject matter expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models, reinforcement learning) to help translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements is required for this role.
- This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Microsoft is an equal opportunity employer.
- Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
