Location: New York City - 4 days hybrid

Type: Permanent, Full-time

Compensation: $140,000-240,000 + Equity

About The Company

We're working with a fast-growing AI company focused on restoring trust and transparency on the internet. As a leader in AI detection and content intelligence, their platform empowers educators, journalists, enterprises, and institutions to navigate the rapidly evolving landscape of AI-generated content.

With millions of global users and institutional adoption, they are building a category-defining product at the intersection of large language models, AI safety, and information integrity.

The team includes engineers and researchers from high-performing technology organizations and leading AI research institutions.

About the Role

As a Machine Learning Engineer, you'll build the next generation of AI systems designed to preserve and enhance critical thinking in the age of generative AI. You'll work in a fast-paced, high-ownership environment alongside passionate builders creating industry-defining AI products used by millions worldwide.

What You’ll Do

1. Fine-tune and evaluate state-of-the-art large language models
2. Design and optimize prompts to maximize classification accuracy, personalization, and style adherence
3. Build multi-agent workflows using Retrieval-Augmented Generation (RAG) and diverse data sources
4. Improve AI agents through experimentation, observability, and iterative testing
5. Conduct exploratory data analysis (EDA) to inform practical model improvements
6. Stay current with emerging AI research and apply cutting-edge methods to novel problems
7. Collaborate closely with product and design to ship intuitive, high-impact AI applications

Requirements

1. 3+ years of experience with Python
2. Experience with LLM frameworks such as LangChain or LlamaIndex
3. Hands-on experience building agentic systems or RAG applications
4. Strong exploratory data analysis (EDA) skills
5. Experience pushing LLM performance on subjective or novel tasks
6. Strong software engineering skills, with experience building modular, extensible systems and complex pipelines
7. Self-starter mindset with the ability to own projects end-to-end
8. Motivation to create meaningful societal impact
9. Comfortable operating in a fast-growing, evolving team
10. Work authorization in Canada or the U.S.

Nice to Have

1. Strong open-source portfolio
2. Publications in top-tier ML venues
3. Experience in early-stage startup environments
4. Experience with prompt optimization frameworks such as DsPY or TextGrad

Why Join?

1. Work on GenAI systems used by millions, with real-world impact on education, media, and trust.
2. Join a small, elite ML team with high ownership and fast iteration cycles.
3. Competitive salary and meaningful equity in a profitable, rapidly scaling company.
4. Hybrid work model
5. Flexible PTO

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