Senior Applied Scientist - LLM
We are building the Intelligent Conversation and Communications Cloud (IC3). We power Microsoft’s first-party real-time conversation products, notably Skype and Teams with many millions of users, by providing reliable and high-quality audio and video calling, meetings, and chat services that work every time, from anywhere, on any device. With IC3, we will enable customers to do more by making conversations on our platform more intelligent, surfacing useful information in real-time and taking actions on the customers’ behalf during the conversation. We will learn from each conversation. Every call, meeting, or chat will make the next one better.
Get the thrill and excitement of building media applications! While backed by the organization that powers Microsoft Teams and Azure Communication Services, we are building a new real-time communication platform from the ground, built for Agent-first, AI-ready communications, breaking the mold of the traditional "conference call” and advancing standards for Agentic communications.
We are looking for a Senior Data & Applied Scientist to join our team. As an Applied Scientist, you will play a pivotal role in transforming traditional media application with AI powers. You’ll be developing scalable algorithms and machine learning pipelines, and use large language model to drive innovation with realtime media and producing grounding data for intelligence processing. This is a unique opportunity to work at the intersection of platform engineering and applied science, helping shape the future of AI-powered productivity.
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.
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)
OR 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)
OR 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.
4+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.
Other Requirements:
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.
Preferred Qualifications:
Hands-on experience with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks.
Familiarity with distributed training, prompt engineering, evaluation strategies, and model deployment best practices.
Coding and debugging skills, and comfort working in cross-functional, agile environments.
The application process will continue on the employer's website.
Location
Vancouver, British Columbia, Canada + 3 more locations