LLM / Machine Learning Engineer

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams

Hiring Company: GPTZero

One-liner: An AI detection platform that helps educators and publishers verify whether content was written by humans or AI. Used by over 4M people.

Salary: $140K/yr - $250K/yr

Why Join Us:

Role 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

Qualifications

Required

* 3+ YOE in Python

* 1+ YOE in LLM framework like Langchain or LlamaIndex

* 1+ YOE 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

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

1. Apply to your first Jobright TNT role

2. We review your background to determine if you meet the TNT quality bar

3. If qualified, your application is directly recommended to the employer

4. Once accepted into TNT, you may be:

- Invited to apply for other exclusive TNT-only roles

- Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.