NTENT is looking to solve the problem of evaluating the quality of documents and detecting misinformation in their News Platform
Requirements
- Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing, entity recognition and extraction etc.)
- Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.
- Proficient with Python or R.
- Experience with Spark, PySpark.
- End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.
Responsibilities
- Partner with product managers, machine learning scientists and engineers to formalize appropriate research questions that are relevant to our News Platform.
- Conduct independent research, perform extensive literature reviews, sort through prior published work to find potential solutions.
- Design experiments and lead data collection efforts.
- Work with large amounts of text data and leverage statistical and machine learning methods.
- Communicate and transfer solutions to production together with scientists and engineers.
- Communicate ideas, methods, opportunities, and results to cross functional partners.
Other
- Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social Sciences or other quantitative field.
- 3+ years of professional experience or equivalent experience in a research lab.
- Recent PhD graduates are especially encouraged.
- Exceptional written, verbal, and visual communication.
- Self-motivated, possess excellent communication skills (both oral and written) and be able to work independently.
