Microsoft is looking to transform the future of software development by making it AI-first, focusing on generative code, autonomous agents, and intelligent UI. The Power Apps Interface team aims to empower users to craft powerful business solutions through conversational design, generative UX, and a team of powerful agents, enabling seamless human-AI interaction within business-critical environments.
Requirements
- 2+ years experience with transformer-based models (e.g., GPT, Llama).
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
- 8+ years experience conducting research as part of a research program (in academic or industry settings).
- 6+ years experience in coding and design, specifically in the development of AI models for scaled production services.
- 6+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
- Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.
- Experience programming with Python, Typescript, C-Sharp (any) is preferred
Responsibilities
- Conduct applied research to develop innovative AI and machine learning models that address real-world challenges.
- Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
- Create and adapt novel training and fine-tuning algorithms for language models.
- Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.
- Collaborate with engineering teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models
- Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and bring these into the organization
- Provide technical leadership and mentorship to junior scientists and engineers.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Embody our culture and values.
- As a team, we are very customer focused and driven by curiosity, creativity, team work, agility, accountability and desire to learn everyday.
- If you are an applied scientist with a proven track record of delivering products, eager to solve novel problems with AI and are motivated by our mission, please contact us.
