Machine Learning Engineer

📋 Job Overview

At GPTZero, we are 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.

🏢 About GPTZero

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.

🎯 The Role

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 to create industry-defining software that has attracted millions of users globally.

✅ Key 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

📌 Required Qualifications

• 3+ YOE in PyTorch/Transformers
• 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

⭐ Desirable Experience

• 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

🎁 Benefits

Competitive salary with equity offerings in both New York and Toronto.

🛂 Visa & Eligibility

Visa for work in Canada or US is required.