Machine Learning Engineer (GenAI, Toronto)
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 Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.
About this role:
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.
What you'll contribute:
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
Qualifications
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
At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.