Investigations Engineer - Toronto

GPTZero • Toronto, ON

2d • CA$140,000 - CA$250,000 • Remote

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 AI-generated content. The ideal candidate will work at the intersection of investigative journalism and AI, building and running the research engine used to identify undisclosed hallucinations and AI-generated content. This role involves finding and publishing groundbreaking investigations on the rise and threat of AI slop, with past work having received significant media coverage. The position requires proficiency in building large-scale content processing pipelines, creating polished reports and visuals, and a strong instinct for 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, ideally PostgreSQL.
• Data analysis and visualization skills to analyze results and create plots that communicate findings.
• 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

• Use AI detection and hallucination detection models to find examples of AI slop on the internet and in publishing.
• Synthesize data into well-written prose, compelling visualizations, and interactive user experiences.
• Build search engine query generators and targeted crawlers for document collection.
• Build automations to monitor social feeds and generate leads.
• Craft machine learning ranking and classification systems to detect documents with fabrications using LLMs.
• Create robust, large-scale data processing pipelines.
• Improve AI models based on their performance on new domains and investigations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed