Founding AI Engineer

A growing AI company is looking for a technically strong Research Scientist or Engineer to join early and help build systems that get smarter about the people using them, learning from how someone interacts with the product and using that to shape the experience they get. The team blends machine learning, applied research, and product-facing engineering, and is led by a founder with a solid research background. You'd be joining at a formative stage, with real input into how the product's core technology takes shape.

The work involves
Building out ways to measure whether the system is responding appropriately given what it knows about a given user
Turning real usage and feedback into structured signals the model can learn from
Running training experiments aimed at improving response quality based on human feedback
Digging into cases where the system gets it wrong — misreads a user, holds onto outdated info, or responds inconsistently
Weighing in on technical decisions as the product architecture comes together
Ideal background
A few years of hands-on experience shipping ML or AI-driven products
Exposure to model fine-tuning, evaluation work, or working with human feedback data
Comfortable in Python, with practical experience in common deep learning tooling
Self-starter who's happy figuring things out without a lot of structure
Competitive salary + equity.

Please feel free to reach out to Charles Duran