Descripción
Overview Frontier Tuning is a new product that aims to fine-tune large language models (LLMs) on tenant data, enabling task-specific agents and solutions. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM experience in the enterprise. We are seeking a Principal Applied Scientist with research and development skills and the desire to develop the cutting edge AI products that push technological boundaries. We are looking for candidates with interest and experience in designing, building and deploying AI products, working with the latest cloud and ML technology, willing to delve deep with customer data and generalize the learnings for the broader product. We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting. 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. Responsibilities Design, build, test, and deploy cloud-based AI applications. Build and deploy LLM-based agentic systems. Engage with customers to understand and address their pain points. Document experiments and communicate results across the team. Mentor early in career team members. Qualifications Minimum Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engi