We’re Hiring the Top 0.01% of Engineers

We’re not looking for average. We’re not even looking for great. We’re hiring only the most ambitious builders. If you’re the type of person who’s shipped meaningful ML-driven products from scratch to production, and thrived without being told what to do - we want to talk.

If that’s not you, please do not apply. We’re building a highly autonomous team of high-agency engineers. Everyone here pulls weight. There are no passengers.

The main qualifier we look for:

Someone with Production experience, we are not looking for someone straight out of grad school. We appreciate experience of having deployed things end-to-end.

About the role

As an ML Product Engineer, you’ll go well beyond model-tuning. You’ll use the latest ML tools (yes, truly!) to directly shape how our product works and scales. You’ll work on ambiguous problems, iterate fast, and own results'.

We’re looking for people who operate with a founder mindset: you take initiative, spot opportunity, act decisively, and get rewarded immensely, as we grow.

Responsibilities

• Research & apply ML algorithms: clustering techniques, similarity search, entity recognition, and more.
• Use reasoning models like Opus 4 or Qwen2.5-7B-Instruct to refine queries based on existing knowledge.
• Share and promote your work publicly (e.g. on Twitter, LinkedIn, Reddit, etc).
• Build knowledge graphs / graphRAG for our data sources.

Qualifications

• Production experience of deploying systems end-to-end
• Experience with ML techniques and applied-AI on "production" projects.
• Strong generalist engineer — you’re comfortable across the stack, include MLOps, Python, and building APIs.
• Self-directed and result-oriented

Bonus points:

• Experience working with codebase understanding
• Experience building knowledge graphs, or working with graph databases
• If you've previously worked at a startup, or founded one yourself.

Location & Compensation

We're hiring for people in/around New York City.

Compensation: $200,000 – $275,000, + founding-engineer equity.

If we move forward with an offer, you will have a choice between more cash or more equity.