Investigations Engineer - NYC

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute. WHAT WE'RE LOOKING FOR Ready to work at the intersection of investigative journalism and AI? We're looking for software engineers to help us find and publish groundbreaking, front-page investigations on the rise and threat of AI slop. You’ll work on building and running the research engine that we used to find undisclosed hallucinations and AI-generated content on the web. Our work so far has produced widely covered reports examining published output from the world’s top consulting firms, and academic publishing venues, earning front-page coverage in the Financial Times https://www.ft.com/content/a61cbcae-95e4-4449-86e1-ef40fb306f4e?syn-25a6b1a6=1, Forbes https://www.forbes.com/sites/rachelwells/2026/07/31/pwc-reports-caught-with-ai-slop-is-a-warning-to-every-worker-right-now/, The Telegraph https://www.telegraph.co.uk/business/2026/08/03/consultants-face-backlash-over-ai-plans/, Bloomberg https://news.bloombergtax.com/financial-accounting/pwc-middle-east-reports-slammed-for-irresponsible-ai-use, The Times of India https://timesofindia.indiatimes.com/technology/tech-news/europes-big-4-cant-stop-making-embarrassing-ai-mistakes-pwcs-thought-leadership-report-forgets-chatgpt-cannot-be-a-source/articleshow/132734570.cms, and other notable media. The ideal candidate is adept at building pipelines for processing web-scale content, skilled at creating polished reports and visuals, and has a strong instinct for recognizing newsworthy findings. WHAT YOU’LL CONTRIBUTE - Use our AI detection and hallucination detection models to find compelling examples of AI slop on the internet and in publishing - Synthesize data into well-written prose, compelling visualizations and interactive user experiences (vibecoding permitted) - Build search engine query generators and targeted crawlers for document collection on the web. - Build automations to monitor social feeds and generate leads - Craft machine learning ranking and classification systems to detect documents that have fabrications using LLMs. - Create data processing pipelines that can operate robustly at scale - Help improve our models based on how they perform on new domains and investigations we pursue QUALIFICATIONS - Ability to tell creative and compelling stories using data - 2+ YOE in Python for developing resilient data pipelines and long-running jobs. - 1+ YOE in SQL for data management, ideally PostgreSQL - Data analysis and visualization to analyze results and create plots that communicate findings to 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 in being able to bootstrap different approaches of data acquisition, speaking with stakeholders and identifying newsworthy content. - Bonus - 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. WHO YOU'LL BE JOINING Our Team You will be working directly with - Alex https://www.linkedin.com/in/alex-cui-caltech (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML, won Best ML Hack at Stanford's 2019 and 2021 Hackathons - George https://linkedin.com/in/george-a-23ba0210…