Senior Machine Learning Engineer

Microsoft is a company where innovators come to collaborate, envision what can be and take their careers to higher levels. This is a world of more possibilities, more innovation, and more openness in a cloud-enabled world.

• 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.

• 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)
• 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)
• 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.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

Microsoft is a company where innovators come to collaborate, envision what can be and take their careers to higher levels.