Job Description: Machine Learning Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: CA$190K - CA$260K

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 Uber, Meta, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, Vector, and MILA.

We are seeking a talented and driven individual to join our team and contribute to the development of the next-generation platform for verifying the origin, quality, and factuality of information. This role requires a strong background in machine learning research, excellent software engineering skills, and a passion for building impactful products.

Requirements

• Experience: 5+ years of experience in PyTorch/Transformers
• Research: Demonstrated ability to lead significant and impactful ML projects, evidenced by publications at top-tier ML conferences or industry deployments.
• Deep Learning: Expertise in deep learning and Large Language Models (LLMs).
• Software Engineering: Strong software engineering skills, including experience building highly extensible and modular codebases and complex pipelines.
• Self-Starter: Ability to self-motivate, pitch, plan, and implement projects independently within a fast-paced team environment.
• Societal Impact: A strong desire to make a positive societal impact through AI technology.
• Visa: Visa sponsorship for work in Canada or the US.
• Bonus: A strong open-source portfolio and publications at top-tier ML venues. Experience working in an early-stage startup environment and understanding of how machine learning models fail in the wild.

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.

Who You'll Be Joining

• Team Lead: Alex (CTO) - R&D at Uber self-driving division and Facebook, 3 patents in ML.
• AI Research Lead: George - PhD from University of Toronto and ex-AWS research.
• Head of Design: Olivia - translating research into outputs for millions of users.
• CEO: Edward - ex-Bellingcat, Microsoft, BBC investigative journalism.

The team also includes an experienced and diverse group of engineers from companies like Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, and MILA.

Application Instructions

• (Application instructions are not provided in the original job description.)