Discipline
Machine learning engineers, applied scientists, and AI engineers who take models from research into production.
How this market works
We screen on whether someone has shipped a model that ran in production and held up, not only published or prototyped. Those are different muscles.
The people who build real evaluations and can say what actually moved are a different tier than the ones chasing a benchmark number.
Computer vision, LLMs and NLP, recsys, and classical ML need different backgrounds. We match on the problem in front of you, not a generic ML label.
We reach the people keeping up with a fast-moving field, and we are honest with both sides about where someone's depth really is.
Open now
Robotics & Autonomy
An AI robotics company building synthetic data and robot-learning models is hiring its first robot-learning engineer in the U.S. and a founding member of the…
$260,000 – $300,000
AI & Machine Learning
A seed-stage physical-AI company building a wearable AI copilot (smart glasses) for industrial field technicians is hiring a Founding AI Engineer on the…
$170,000 – $230,000
AI & Machine Learning
A consumer fintech company using applied machine learning is hiring a Machine Learning Engineer to build and scale core product lines alongside product,…
$220,000 – $220,000
Plain answers
ML and AI engineers, applied scientists, research engineers, and the leaders who build these teams.
Yes. Generative and LLM work, computer vision, and traditional applied ML each need different backgrounds, and we are direct about the fit.
Tell us what you are building. The first conversation costs nothing and stays between us.