PhD Research Sciences Intern

About the internship Selected intern's day-to-day responsibilities include: 1. Analyzing and improving the performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications. 2. Thinking through product scenarios and goals, identify key challenges, map requirements into Machine Learning (ML) tasks, and design experimental processes for iteration and optimization. 3. Building and implementing working prototypes of scalable systems in artificial intelligence (AI) applications. 4. Gaining a broad understanding of research areas, utilising applicable research techniques, staying updated on industry trends, and sharing knowledge with immediate team members. 5. Reviewing data quality and technical constraints, preparing datasets for analysis, and actively troubleshooting data quality issues by deciding which data to include or exclude. 6. Assisting with the development of usable datasets for modelling purposes and supporting the scaling of feature ideation and data preparation workflows. 7. Cleaning and adapting processed data for machine learning purposes under the direct supervision and guidance of senior team members. Skill(s) required Artificial intelligence Data Analysis Data Science Machine Learning Python Research and Analytics Earn certifications in these skills Learn Artificial intelligence Learn Data Science Learn Machine Learning Learn Python Learn Research and Analytics Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. are available for duration of 3 months 3. have relevant skills and interests Other requirements Only those candidates can apply who: 1. Are currently pursuing a Doctorate Degree (PhD) in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a highly related quantitative field. 2. Must have at least one additional quarter/semester of school remaining following the completion of this internship. 3. Are available for full-time, fully on-site work at one of Microsoft's India office locations. 4. Are open to less than 25% travel if required by the business group. Additional information 1. Strong foundations in advanced algorithms, machine intelligence, and machine learning applications. 2. Experience working with large-scale datasets and designing experimental processes for model optimization. 3. Proficiency in implementing scalable AI prototypes and utilizing state-of-the-art data modeling tools. 4. Deep analytical mindset with the ability to translate real-world business/product scenarios into structured ML tasks. 5. Knowledge of data engineering concepts, feature ideation, data preparation, and data quality troubleshooting. 6. Strong research capabilities with a keen interest in staying up-to-date with emerging tech and industry trends. 7. Excellent collaboration and communication skills to share insights effectively within a global team framework. Number of openings 5 Editor’s note Information above is Internshala's interpretation and paraphrasing of what we found on the shared link. About Microsoft Website Microsoft, founded in 1975 by Bill Gates and Paul Allen, is a global technology powerhouse headquartered in Redmond, Washington. With a market capitalization of around $3 trillion and annual revenue of $245 billion in 2023, Microsoft leads in cloud computing, AI, and enterprise solutions. In India, Microsoft Azure, Office 365, and LinkedIn play a crucial role in empowering businesses and professionals, while the company invests heavily in AI research, cybersecurity, and digital skilling programs. Microsoft’s initiatives support startups, enterprises, and government organizations in accelerating digital transformation. Committed to sustainability and technological advancement, Microsoft continues to shape the future of computing while fostering digital innovation across India and the world. Apply now Additional Questions × Close Sign up to continue Candidate sign up Sign up/ Login with Google Sign up with Email OR Email Password First Name Last Name Sign up By continuing as a candidate, you agree to our T&C . Already registered? Login var to_show_recaptcha = 0; Sign up to continue Candidate sign up Sign up/ Login with Google Sign up with Email OR Email Password First Name Last Name Sign up By continuing as a candidate, you agree to our T&C . Already registered? Login var to_show_recaptcha = 0; var to_trigger_already_applied_btn_ga = 0;