Research Sciences II
Microsoft
Microsoft
Join the PROSE team at Microsoft and contribute to advancing the state-of-the-art in program synthesis. This role offers a unique opportunity to blend cutting-edge AI research with real-world impact, shaping flagship Microsoft products like Excel, Visual Studio, and the Power Platform. You'll leverage techniques from logical reasoning and machine learning, including LLMs, to automatically synthesize programs.
This position is ideal for early-career researchers with a passion for machine learning and related fields. You will collaborate with world-class engineers and researchers to design, implement, and deploy innovative AI-driven features that empower millions of users globally. Experience the thrill of seeing your research come to life in widely used software tools.
As an Associate Researcher, you will:
- Design and execute research initiatives in collaboration with peers, engineers, and product managers. - Partner with engineering and product teams to successfully deploy research findings to customers. - Foster collaboration with fellow researchers and long-term research fellows. - Contribute to the academic community by publishing in top-tier conferences and journals.
We are seeking individuals with a Master's degree in a relevant field and at least 1 year of research experience, or a Bachelor's degree with 2+ years of related experience. Equivalent experience will also be considered.
Preferred qualifications include a Bachelor's or Master's degree in Computer Science or a related area, coupled with 2+ years of relevant experience. A strong background in programming language research, software engineering, or deep learning is highly valued. Demonstrated experience in training transformer-based models, including data curation, is essential. Experience and a clear interest in areas such as program synthesis, multimodal understanding, or natural language to formula generation are advantageous. Excellent communication skills are a must.
Microsoft Corporation
Software Development