Selected intern's day-to-day responsibilities include applying your expertise to help us develop world-leading capabilities in the exciting and challenging domain of automated question answer generation.
Required Skills:
1. Solid understanding of Python
2. Strong mathematics and proficiency in statistics.
3. Deep knowledge of computer science fundamentals such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis
4. Knowledge of Linux shell commands
5. Degree educated; Mathematics, computer science, and economics preferred
6. Independent projects: We look for candidates who have learned and worked on their own projects/open source contributions (especially SymPy)
The following skills will be a plus factor:
1. Any NoSQL database
2. Clouds applications
3. A Basic understanding of NLP or ML frameworks
What can you expect:
1. Opportunity to work on interesting and hard problems like automatic generation of questions and step-by-step solutions of questions, etc.
2. Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students
3. An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities
BYJU'S is India's largest ed-tech company and the creator of India's largest K-12 learning app which offers highly adaptive, engaging, and effective learning programs for students in classes 4-12 (K-12) and competitive exams like JEE, NEET, CAT, IAS, GRE, and GMAT. Today, BYJU'S has over 16 million downloads, 9 lakh annual paid subscriptions, and sees the addition of 30,000 students every month. With an average time of 57 minutes being spent by a student on the app every day, the BYJU'S app is making learning enjoyable and effective. Renewal rates are as high as 85%.
Launched in 2015, BYJU'S has become the most loved and preferred education app for students across age groups. Delivering a world-class learning experience, BYJU'S is paving the way for new-age, geography-agnostic learning tools that sit at the cross-section of mobile, interactive content, and adaptive learning methodologies.
