CanadaInvestigations Engineer - Toronto
3 нед. назад
140k–230k USD / yearCanadaWorldwideHybrid
pythonaws
Engineering role focused on building and running research engines to detect AI-generated content and hallucinations on the web.
О компании
- You will be working directly with
- Alex (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 (our AI research lead) PhD from University of Toronto and ex-AWS research.
- Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the brand.
- Additionally, you will be working with an experienced (eg. ex-Google, Meta , Microsoft, Bloomberg ML, Uber, Vector, MILA ), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.
- Together, we are committed to making a permanent impact on the future of writing, and on humanity
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- At , our recruiting team is involved in every step of the hiring process. We use AI-based tools to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.
Требования
- 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 , Forbes , The Telegraph , Bloomberg , The Times of India , 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
- 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.
Другое
- 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.
- 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