Senior Machine Learning Engineer

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 for

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.

Responsibilities

• Design, 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

Qualifications

• 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 Perks

• 🏥 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

Salary range: $160,000 - $220,000 per year