Microsoft is looking to revolutionize visual creation within the M365 Copilot App, Microsoft Designer, Photos by applying state-of-the-art AI innovations to augment human creativity
Requirements
- 2+ years of experience demonstrating proficiency in Python and relevant Machine Learning (ML) libraries (e.g., PyTorch)
- 2+ years of experience with LLM/VLM/diffusion models, including but not limited to: GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen
- Experience shipping applied research to production, including a track record of combining coding skills with advanced expertise in AI model development
- Experience in coding and design, specifically in the development of AI models for scaled production services
- Experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms
Responsibilities
- You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers
- You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people’s lives
- You will work with engineering partner teams on the model integration/flight/maintenance
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience
- Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups
