Microsoft Teams aims to redefine the future of teamwork by integrating Generative AI, Large Language Models (LLMs), and a world-class AI stack to enhance collaboration and messaging experiences within the Microsoft 365 ecosystem.
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-Sharp, Java, JavaScript, or Python OR equivalent experience.
- 3+ years of experience in applied machine learning, deep learning, or natural language processing.
- 3+ years of hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and data processing pipelines.
- 3+ years of experience deploying models to production in large-scale distributed systems or cloud environments (Azure, AWS, or GCP).
- 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-Sharp, 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-Sharp, Java, JavaScript, or Python OR equivalent experience.
- 4+ years of technical engineering experience, including designing, training, and deploying ML models at scale.
- Experience working with large language models (LLMs), generative AI, or conversational AI systems.
Responsibilities
- Design, develop, and deploy scalable machine learning models that enhance core collaboration and messaging experiences in Microsoft Teams.
- Apply advanced techniques in deep learning, natural language processing, and generative AI to improve user experience and enable intelligent features.
- Build and optimize ML pipelines for model training, evaluation, and deployment using Azure Machine Learning and other cloud-based services.
- Prototype, experiment, and evaluate new ideas to deliver next-generation AI-powered features that redefine how teams communicate and collaborate.
- Partner with research teams to bring cutting-edge ML innovations into production environments.
- Collaborate with product engineering teams to integrate ML models into large-scale distributed systems, ensuring reliability and performance.
- Establish best practices, frameworks, and reusable components for large-scale ML development across Microsoft and uphold the highest standards of availability, reliability, and scalability in ML systems—never compromising on engineering fundamentals.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements including the Microsoft Cloud background check.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Bachelor's Degree in Computer Science or related technical field.
- Master's Degree in Computer Science or related technical field.
- Microsoft is an equal opportunity employer.
