Microsoft is looking to hire a Senior Machine Learning Engineer 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
- 2+ years of experience with Machine learning or AI-embedded processes.
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
- Familiar with AI coding assistant, AI IDE, Agentic coding assistant such as GitHub Copilot, and Cursor
- 2+ years of experience conducting applied AI research in academic or industry settings
- 2+ year of experience developing and deploying live production systems or AI services
- Experience across the product lifecycle from ideation to shipping
Responsibilities
- 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 continuously refining well-established models and training techniques through iterative improvements.
- Develop evaluation frameworks to assess model performance, monitor model behavior, conduct systematic benchmarking, and address identified weaknesses while ensuring compliance with customer standards.
- Write efficient production code 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 deep 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.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements is required for this role.
- Microsoft Cloud Background Check: 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.
