Embark on an innovative journey as an Applied Science Intern at Microsoft, contributing to groundbreaking research and product development. This role offers a unique opportunity to delve into cutting-edge AI and Machine Learning, applying advanced theories to solve real-world challenges. You will utilize sophisticated tools to enhance product quality and drive business success, developing intelligent solutions through data, modeling, and ML.

Interns at Microsoft engage with meaningful projects in collaboration with global teams. You will be empowered to foster community, pursue your interests, and achieve your professional ambitions while working with advanced technology.

Key responsibilities include designing, implementing, and evaluating machine learning and AI solutions tailored for practical product applications. You will analyze and optimize the performance of complex algorithms using extensive datasets, and translate business needs into research problems.

Further duties involve conducting rigorous experiments to measure model effectiveness, developing and fine-tuning models like LLMs and SLMs, and building scalable AI systems for production. You will also be responsible for preparing and analyzing large datasets, and documenting research for potential publications or patents.

Candidates should be actively pursuing a PhD or M.Tech degree in Computer Science, AI, ML, Statistics, Mathematics, Electrical Engineering, Computer Engineering, or a related technical field. A minimum of one semester or quarter remaining after the internship completion is required.

Essential qualifications include prior research experience in ML, Deep Learning, NLP, Computer Vision, or Generative AI. Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow are mandatory. The role also demands strong experimental design skills, statistical analysis capabilities, and the ability to conduct independent research and communicate findings effectively.