Job Description
Client: A leading ED-TECH company
Designation: SDE 1 / SDE 2 / SDE 3 (Architect)
Experience: 3 to 9 years
What are we looking for in a Candidate?
Required Skillsets:
- Wisdom to know when to hustle and when to be calm and dig deep.
- Strong can-do mentality, who is joining the team to build on a vision, not to do a job.
- A deep hunger to learn, understand and apply your knowledge to create technology.
- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.
- Very Good understanding of Natural Language Processing (NLP) and Machine Learning (ML) with projects to back the same.
- Strong fundamentals in Linear Algebra, Probability and Random Variables and Algorithms.
- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark etc.
- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.
- Good understanding of Algorithms and Data Structures.
- Strong programming experience in C++/Java/Lisp/Haskell.
- Good written and verbal communication.
Desired Skillsets:
- Passion for well-engineered products and you are ‘ticked off’ when something engineered is ‘off’ and you want to get your hands dirty and fix it.
- 3+ years of research experience in Machine Learning, Deep Learning, and NLP.
- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision / Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA,FOCS etc.)
- Open Source Contribution (include link to your projects, GitHub etc.)
- Knowledge of functional programming.
- International level participation in ACM ICPC, IOI, TopCoder etc.
- International level participation in Physics or Math Olympiad.
- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory etc.
What can you Expect at work?
- Opportunity to work on interesting and hard research problem, to see the real application of state-of-the-art research into practice.
- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.
- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.
- Opportunity to learn effective engineering habits required to build/deploy large production-ready ML applications.
- Ability to do quick iterations and deployments.
- We would be excited to see you publish papers (though certain restrictions do apply).