Machine Learning Engineer (Senior)
Toronto Hybrid
Who are we?
GPTZero’s mission is to restore information quality and transparency on the internet.
Our team comes from high-performing engineering cultures, including Uber, Meta, Microsoft, Affirm, and leading AI research labs, including Princeton, Caltech, Vector, and MILA. We are working on novel models and pushing cutting-edge research to production, including AI detection, AI hallucination detection, retrieval augmented generation, and writing stylometry to over 3 million active users, and enterprise clients including Fortune 1000 and Unicorn AI companies.
We are backed by some of the best in the valley, including Uncork, Neo, Altman Capital, and in journalism, including Mark Thompson (CEO of NYT, BBC, CNN) and Tom Glocer (CEO of Reuters) who defined a generation of quality digital information.
What we're looking forAt 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 to create industry-defining software that has attracted millions of users globally.
ResponsibilitiesDesign, train, and fine-tune state-of-the-art 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
4+ YOE in PyTorch/Transformers
1st author in paper at top-tier conference or led a significant ML project in industry
Experience pushing the cutting-edge in machine learning
Self-starter (pitch, plan, and implement as a project owner in a fast-paced team)
Highly motivated to make positive societal impact
Ability to wear multiple hats and be a leader as our team grows
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), 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
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
🍰 Equity (seed round was in March 2023, today, our metrics exceed many series A companies)
🏝 Flexible PTO
🎉 Regular company retreats
💡Mentorship opportunities with our world-class advisors and investors
🙌 Wellness and learning stipend
Job Profile
Hybrid work Hybrid work model Visa required for work in Canada or US
Benefits/Perks Tasks- Build ML training systems
- Collaborate with product and design teams
- Design and train language models
- Develop AI agents
- Stay updated with literature
AI AI detection AI hallucination detection Data analysis Machine Learning Project Management PyTorch Retrieval-augmented generation Software Engineering Transformers Writing stylometry
Experience4 years
TimezonesAmerica/Edmonton America/Moncton America/Regina America/St_Johns America/Toronto America/Vancouver UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8