Research Engineer

Via Logic LLC; New York (NY); On-site; USD 70,000 - 110,000; Full time

Job summary

An innovative firm is looking for a Research Engineer to bridge engineering and social science research. In this role, you will develop and maintain data collection tools for social media platforms and design scalable solutions for processing large datasets. Your work will involve collaborating with social science experts to translate research ideas into actionable data plans while mentoring students in best practices for data engineering. This position offers the chance to work on diverse research projects and contribute to the evolving landscape of artificial intelligence and data analysis, making a significant impact on the field.

Qualifications

• Experience in developing data collection tools for social media platforms.
• Strong background in data engineering and machine learning.

Responsibilities

• Develop and maintain data collection infrastructure for social media.
• Collaborate with researchers to translate ideas into data plans.

Skills

Data Collection

Data Engineering

Machine Learning

Spark

Data Analysis

Education

Bachelor's Degree in Engineering or Social Science

Master's Degree in a related field

Tools

Spark

Large-scale data systems

Job description

We're seeking a Researcher (Research Engineer) to join our innovative team. In this role, you'll be at the intersection of engineering and social science research, helping to build and maintain the robust data collection infrastructure and custom tools that power our work. As artificial intelligence becomes more widely adopted and social media platforms evolve,, your technical expertise will be crucial in developing innovative solutions to collect and analyze large scale digital data.

We work on a wide range of research projects with various technical challenges. As a result, you will contribute to projects in many ways, including:

Develop data collection tools and infrastructure to gather information from emerging and established social media platforms
Collaborate with technically sophisticated social science faculty, postdocs, and PhD students to translate research ideas into actionable data plans
Design and implement scalable solutions for processing large datasets using technologies like Spark and other large-scale data systems
Collaborate on research using machine learning, including deploying and fine-tuning large language models
Work with research teams to develop methods for collecting digital trace data from survey respondents, including web browsing, social media, and mobile app usage
Build and maintain complex data pipelines for processing large scale digital trace data, such as social media posts, news articles, and other online content
Document codebases and projects to ensure knowledge transfer and research reproducibility
Mentor students and research assistants in best practices for data engineering
Present technical solutions to both technical and non-technical audiences

PLEASE APPLY THROUGH THIS LINK https://apply.interfolio.com/165833