GPTZero · 1 month ago
Machine Learning Engineer (GenAI, Toronto)
Toronto Hybrid
Full-time
Hybrid
Mid Level
3+ years expGPTZero is on a mission to restore trust and transparency on the internet as the leading AI detection platform. In this role, you'll build the next generation of AI tools that enhance critical thinking, working on a fast-paced team to create impactful software that serves millions of users globally.
Artificial Intelligence (AI)Information TechnologyNatural Language Processing
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
GPTZero
GPTZero develops an AI detection platform that discerns the generated content as AI produced or human written.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$13.5MKey Investors
Footwork
2024-06-13Series A· $10M
2023-05-09Seed· $3.5M
Leadership Team
Alexander Cui
CTO, Co-founder
Recent News
2025-09-22
Company data provided by crunchbase