10 months ago
Base Salary
$150k - $230k/yr
Responsibilities
- Fine-tune and evaluate state-of-the-art language models.
- Optimize prompts for classification accuracy, personalized outputs, and style enforcement.
- Develop multi-agent workflows that incorporate data from diverse sources using RAG.
- Improve and iterate on AI agents using observability and experimentation tools.
- Track emerging literature and technologies to solve novel problems.
- Partner with product and design teams to build intuitive applications with societal impact.
Requirements
- At least 3 years of Python experience.
- At least 1 year of experience with an LLM framework such as LangChain or LlamaIndex.
- At least 1 year of experience building agentic or RAG applications.
- Strong exploratory data analysis skills and the ability to use data to inform practical solutions.
- Experience advancing LLM capabilities on novel tasks with subjective outputs.
- Experience building highly extensible, modular codebases and complex pipelines.
- Ability to act as a project owner by pitching, planning, and implementing projects in a fast-paced team.
- Ability to contribute as a leader while taking on multiple responsibilities as the team grows.
- Valid authorization to work in Canada or the United States.
- Strong open-source portfolio is a bonus.
- Publications at top-tier machine-learning venues are a bonus.
- Early-stage startup experience is a bonus.
- Experience with prompt-optimization frameworks such as DSPy or TextGrad is a bonus.
Tech Stack
Categories
About GPTZero
GPTZero is the world's leading AI-text identification platform. Our mission is to restore information quality and transparency on the internet. We give millions of users the ability to see the origin, reliability, and quality of information, and enable responsible adoption of AI.