Senior Machine Learning Engineer Job at Microsoft Corporation (Redmond)

Senior Machine Learning Engineer

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

119800.00 - 234700.00 USD / Year

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Job Description:

This role will contribute to the development and integration of cutting-edge AI technologies into Microsoft Copilot Studio, ensuring they are inclusive, ethical, and impactful. You will also collaborate across product, design, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and software engineering to solve complex problems. Your work will directly influence product quality and customer experiences. Additionally, this opportunity will combine machine learning and AI knowledge with software engineering expertise, while demonstrating a growth mindset and customer empathy. Join us in shaping the future of AI agents. You will play a crucial role in developing the Copilot Studio Applied Science and Research team’s direction in machine learning, Generative AI model fine-tuning, Agent creation and deployment, AI evaluation and scaling.

Job Responsibility:

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.

Requirements:

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.
2+ years of experience with Machine learning or AI-embedded processes.
Ability to meet Microsoft, customer and/or government security screening requirements is 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.

Nice to have:

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

Additional Information:

Job Posted:
January 06, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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