Applied Sciences INTERN

Microsoft’s interview process typically starts with a timed online coding test focusing on arrays, strings, and graph algorithms. Successful candidates move to technical rounds where interviewers probe deep into machine‑learning fundamentals, research methodology, and system design. The final HR round assesses cultural fit and discusses internship logistics. Preparation should include solving medium‑hard coding problems, revisiting core ML concepts, and being ready to discuss past research projects clearly.

Round 1: Online coding assessment (Data structures & algorithms) → Round 2: Technical interview focusing on ML concepts, research experience, and problem solving → Round 3: HR interview covering fit, motivation, and internship logistics

Microsoft is renowned for its inclusive, growth‑oriented culture where learning is encouraged through internal courses, mentorship programs, and hackathons. Employees enjoy a balanced work‑life environment, flexible hours, and access to state‑of‑the‑art facilities across its Indian campuses.

Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, Computer Engineering, Econometrics, or a related technical field; must have at least one semester/quarter remaining after the internship; strong research experience in ML, Deep Learning, NLP, Computer Vision, Generative AI or related areas; proficient in Python and ML frameworks such as PyTorch or TensorFlow; experience designing experiments, statistical analysis, and handling large datasets; minimum CGPA/percentage of 7.5/70% (or equivalent) is preferred; no backlog allowed at the time of joining.

Microsoft is a global technology leader that empowers every person and organization on the planet to achieve more. With a presence in more than 190 countries, Microsoft’s research labs and product teams drive breakthroughs in cloud computing, artificial intelligence, gaming, and productivity software. In India, the company has a strong engineering ecosystem spanning Bengaluru, Hyderabad, and other tech hubs, offering a vibrant mix of multicultural teams, cutting‑edge infrastructure, and a culture of continuous learning. Interns at Microsoft are treated as full contributors; they get access to the same tools, mentorship, and impact opportunities as regular employees, making the internship a launchpad for a future career in technology. The Applied Sciences Internship is designed for PhD candidates who want to translate advanced research into real‑world products. As an Applied Science PhD Intern, you will work side‑by‑side with senior researchers, software engineers, and product managers to build AI‑driven solutions that improve Microsoft’s services. You will be responsible for end‑to‑end development of machine‑learning pipelines, from data ingestion and cleaning to model training, evaluation, and deployment. The role offers exposure to large‑scale data platforms, cloud services, and the latest generative‑AI frameworks, allowing you to see how academic breakthroughs become features used by millions. Key responsibilities include: 1. Design, implement, and evaluate machine‑learning and AI solutions for real‑world product scenarios. 2. Analyse and optimise the performance of advanced algorithms on large‑scale datasets. 3. Translate business and product challenges into research problems and experimental frameworks. 4. Conduct rigorous experiments to assess model effectiveness and drive continuous improvement. 5. Develop, train, fine‑tune, and evaluate Large Language Models (LLMs) and Small Language Models (SLMs). 6. Build scalable prototypes and AI‑powered systems ready for production deployment. 7. Prepare, clean, and analyse massive datasets while ensuring data quality and integrity. 8. Innovate new approaches for model evaluation, benchmarking, and performance optimisation. 9. Collaborate with cross‑functional teams to integrate research breakthroughs into Microsoft products. 10. Document findings, contribute to technical reports, publications, patents, or open‑source projects. Tech stack: Python, PyTorch/TensorFlow, Azure Machine Learning, SQL/NoSQL databases, Git, Docker/Kubernetes, and familiarity with large‑scale data processing tools such as Spark. The internship can lead to full‑time research or engineering roles within Microsoft Research, Azure AI, or product groups, offering a clear growth path from intern to senior researcher or principal engineer. Joining Microsoft gives you access to world‑class mentorship, a collaborative culture that values curiosity, and the chance to work on products that impact billions of users worldwide.