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.
At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around.
In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.
Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused)
Design, train, and fine-tune state-of-the-art large language models
Develop AI agents combined with retrieval-augmented language models
Build efficient and scalable ML training and inference systems
Stay up-to-date with the latest literature and emerging technologies to solve novel problems
Work closely with product and design teams to develop intuitive applications that create societal impact
Proficiency in Python and PyTorch
Experience pushing or implementing the cutting-edge in machine learning
Self-starter and hungry learner
Highly motivated to make positive societal impact
Ability to wear multiple hats
Visa for work in Canada or US
Bonus:
strong open-source portfolio
publications at top-tier ML venues
experience working in an early-stage startup environment
understanding of how machine learning models fail in the wild
Our Team
You will be working directly with
Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
George (our AI research lead) PhD from University of Toronto and ex-AWS research.
Olivia (our head of design) on translating your research into outputs for millions of users.
Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero 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), anddriven (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.
Our Angels and Advisors
Tom Glocer (Legendary Reuters CEO)
Mark Thompson (Legendary NYT CEO and current CNN chief executive)
Jack Altman (CEO of Lattice, brother of Sam Altman)
Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper)
Emad Mostaque (CEO of Stability AI)
Doug Herrington (CEO of Worldwide Amazon Stores)
Brad Smith (President of Microsoft)
Tripp Jones (Partner at Uncork Capital)
Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
Russ Heddleston (CEO of Docsend)
Alex Mashrabov (Snapchat, Director of AI)
Faizan Mehdi (Affinity, Director of Demand Generation)
🏥 Health, dental, and mental health benefits
💻 Hybrid work in Toronto and NYC offices
🚀 Competitive salary
🏝 Flexible PTO
🎉 Regular company retreats
💡Mentorship opportunities with our world-class team, advisors, and investors
🙌 Wellness and learning stipend
At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) 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.
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