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AI has created an unprecedented opportunity to make work better for hundreds of millions of people. Microsoft Teams is the hub for teamwork that integrates the people, content, and tools your team needs to be more engaged and effective. It is at the core of Microsoft’s modern work, life, and education value proposition. We are reinventing the way people communicate and work together across the globe. Our newly formed Applied Science organization is hiring a Senior Machine Learning Engineer to help ensure we maximize this amazing opportunity. As a Senior Machine Learning Engineer with experience in training or fine-tuning large language models (LLMs), including both text and multimodal systems, reinforcement learning, agentic AI architectures, and inference optimization you will join a team of passionate engineers and scientists, driving ideas to impactful results in a fast-paced environment. You will work on designing, building, and deploying large-scale machine learning (ML) and agentic systems, with an emphasis on production-grade solutions involving data pipelines, large-scale training, model serving, and performance optimization. You are experienced in machine learning engineering from ideation and algorithm selection to architecture and implementation, to deployment and continuous improvement. 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.
Job Responsibility:
Lead the design and architecture of ML solutions for projects/sub-systems
Select appropriate models, training regimes, and serving approaches
Produce maintainable, efficient, and explainable ML code
Drive monitoring for model drift, bias/fairness, and reliability
Mentor early-in-profession engineers, provide design/code reviews, and raise quality standards
Partner with other teams to ensure integrated ML systems are production-ready
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python with experience in at least one deep learning framework such as PyTorch, JAX, or TensorFlow
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are 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:
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with Microsoft’s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG
Familiarity with responsible AI evaluation frameworks and bias mitigation methods
Experience across the product lifecycle from ideation to shipping
Experience deploying Fine Tuned LLMs or multimodal models in live production environments
Experience shipping and maintaining production AI systems