Machine Learning Engineer (GenAI, Toronto)

About GPTZero

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

In this role, you'll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, 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.

• Fine-tune and evaluate state-of-the-art language models

• Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines

• Develop multi-agent workflows incorporating data from diverse sources using RAG

• Improve and iterate on AI agents using observability and experimentation tools

• 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

• 3+ YOE in Python

• Experience with LLM framework like Langchain or LlamaIndex

• Experience with agentic or RAG applications

• Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions

• Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs

• Excellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelines

• 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

  • Experience with a prompt optimization framework like DsPY or TextGrad