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, andmoreopennessin acloud-enabled world.

It is an incredible time for AI initiatives at Microsoft.We'repushing the boundaries of AI and Machine Learning across multiple domains to advance Microsoft's ambitious AI goals. Microsoft Copilot Studio is our comprehensive agent building platform that lets its customers create conversational and autonomous agents using natural language or a graphical interface. Copilot Studio makes it simple to design, test, and deploy solutions tailored to its customers' industry, company, department, or role, whether they need agents for internal or external use cases.

We are looking to hire a Senior Machine Learning Engineer to join our team!

This role will contribute to the development and integration ofcutting-edge AI technologies into Microsoft Copilot Studio, ensuring they are inclusive, ethical, and impactful. You will also collaborate across product, design,researchand engineering teams to bring innovative solutions to life, applying yourexpertisein machine learning, data science, andsoftware engineeringto solve complex problems. Your work will directly influence productqualityand customer experiences.

Additionally, this opportunity will combine machine learning andAI knowledge withsoftware engineering expertise, while demonstratinga growth mindset and customer empathy. Join us in shaping the future of AI agents. You will play a crucial role indevelopingthe Copilot Studio Applied Science and Researchteam's direction inmachine learning, Generative AI model fine-tuning, Agent creation and deployment,AI evaluation andscaling.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• 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.

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) 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.

Other Requirements:

• 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.

Preferred Qualifications:

• 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

#BICJobs

#MCSJobs

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.