1. Conduct a review of the literature to synthesize reports
2. Collect data from several heterogeneous data sources including news articles, fact-checks, healthcare documentation, and social media data
3. Build and deploy web-based dashboards and tools to monitor the online information ecosystem, across multiple social platforms
4. Use AI tools to draw insights from social media user interactions, engagement, and behavior
5. Benchmark, audit, and evaluate the performance of existing AI pipelines we have built to analyze data
6. Use large language models and word embeddings to analyze large volumes of text with low latency
7. Build AI-based search pipelines for data analysis using multimodal models
8. Conduct market research to identify existing tools to solve a problem
Note:
1. Experience with React.js, Python (Flask), SQL, Pandas, Numpy, charts.js, d3.js
2. Experience building and deploying websites and web applications
3. Experience using git and version control
4. Experience with bash and shell scripting
5. Currently pursuing or recently completed a bachelors or masters degree in computer engineering, information technology, or a related STEM field with demonstrable programming experience
6. Experience working on a team
Skill(s) required
Amazon Web Server (AWS)Google Cloud ComputingJavaScriptMachine LearningPythonSQL
1. are available for the work from home job/internship
2. can work from 6:30 pm - 2:00 am Indian Standard Time (as the company is based outside of India & their local work timings are 6:30 pm - 2:00 am India Standard Time)
3. can start the work from home job/internship between 13th Jun'24 and 18th Jul'24
Systems Design experience or ability to learn how to build systems to analyze data at scale.
Prior work within a high-performing team is a plus.
Prior research experience is a plus.
Knowledge of agile software development practices is a plus.
Experience with Android or iOS app development is a plus.
Problem-solving abilities:
You will be responsible for engineering systems to collect and analyze data ranging from 10 - 100 GB. We expect you to know that pandas alone isnt always going to cut it and be aware of how to leverage parallel computing libraries, multithreading, and existing libraries that allow you to scale your data analysis.
Ability to solve challenging technical problems including collecting data from social platforms using APIs and custom web scrapers.
You may need to understand and learn technologies like AWS Lambda, DuckDB, and debug issues that arise (with due support from the team).
Perks
Certificate Letter of recommendation Flexible work hours 5 days a week
Additional information
Stipend structure: This is a performance-based internship. In addition to the minimum-assured stipend, you will also be paid a performance-linked incentive (₹ 5000 per project).
Number of openings
8
About SimPPL (New York, United States)
SimPPL is a nonprofit research collective building cutting-edge responsible AI tools to advance information integrity. We want to make safe and reliable information accessible to populations across the world. Specifically, we work on media and digital literacy, build systems to combat mis and disinformation, and advocate for policy reform through our reports. We publish research papers actively at top computational social science, machine learning, trust and safety, business and management workshops and conferences like ICML, AAAI, NeurIPS, IC2S2, ICWSM, and others. Our work led primarily by undergrads is featured by Mozilla, Google, the Center for Tech and Society, Wikimedia, Prothom Alo, Rest of World, Deutsche Welle, and Axios.
We work on applied projects in technology and policy, with the goal to support undergraduate and graduate students to pursue responsible computing and policy research, frequently through partnerships with global organizations.
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