Microsoft Teams is looking to evolve its machine learning platform to deliver intelligent, context-aware features while ensuring high performance, scalability, and efficiency, by leveraging Generative AI, Large Language Models (LLMs), and a world-class AI stack to power Teams Copilot and other cutting-edge AI experiences.
Requirements
- 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
- 3+ years of experience in applied machine learning, deep learning, or natural language processing.
- 2+ years of hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and data processing pipelines.
- 2+ years of experience deploying models to production in large-scale distributed systems or cloud environments (Azure, AWS, or GCP).
- 8+ 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.
- Familiarity with distributed computing frameworks (Kubernetes, Spark, Ray) and MLOps practices.
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 are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Microsoft is an equal opportunity employer.
- If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
