Investigations Engineer - NYC

GPTZeroNew York, NY
$140,000 - $250,000Onsite

About The Position

GPTZero is seeking a software engineer to join its mission of restoring trust and transparency online. As a leading AI detection platform, GPTZero empowers users to navigate the complexities of AI-generated content. This role is at the intersection of investigative journalism and AI, focusing on building and operating the research engine used to uncover and publish groundbreaking investigations into AI-generated content and its potential threats. The company's previous work has led to significant media coverage in major publications, examining outputs from top consulting firms and academic venues. The ideal candidate will be skilled in building large-scale content processing pipelines, creating polished reports and visuals, and identifying newsworthy findings.

Requirements

  • Ability to tell creative and compelling stories using data.
  • 2+ years of experience in Python for developing resilient data pipelines and long-running jobs.
  • 1+ years of experience in SQL for data management, preferably PostgreSQL.
  • Experience with data analysis and visualization to analyze results and create plots for stakeholders.
  • Experience with web scraping and search at scale, including search, LLM, OCR, and data crawling tools.
  • Experience with basic cloud infrastructure (e.g., AWS).
  • Entrepreneurial spirit for data acquisition, stakeholder communication, and identifying newsworthy content.

Nice To Haves

  • Ability to build/vibecode webpages to display results.
  • Applied ML for ranking and calibration.
  • Infrastructure-as-code and container tooling experience.
  • OSINT and evidence verification experience.
  • Ability to find data when others cannot.
  • Experience working with media and journalists.

Responsibilities

  • Utilize AI detection and hallucination detection models to identify AI-generated content and 'AI slop' on the internet and in publications.
  • Synthesize data into written prose, visualizations, and interactive user experiences.
  • Develop search engine query generators and targeted crawlers for web-based document collection.
  • Build automations to monitor social feeds and generate leads.
  • Craft machine learning ranking and classification systems to detect fabricated documents using LLMs.
  • Create robust, large-scale data processing pipelines.
  • Improve AI models based on their performance in new domains and investigations.
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