AI / ML Engineer
Why Private Clubs?
Private clubs are a $60 billion industry with no technology layer. No aggregator. No search. No verified data. We are building the platform that changes that. Travel had Booking.com. Real estate had Zillow. Private clubs have no one. We intend to be that.
Small team. In-person. AI-native. Every person here ships with AI agents, owns what they build end to end, and moves fast. If that sounds like you, keep reading.
About the role
We are building AI-native search and discovery for private clubs. You will work on LLM-powered features: from natural language club search to automated data enrichment to our presence across ChatGPT, Perplexity, and other AI platforms. This is applied AI, not research.
What you will do
- Build and optimize LLM-powered search and recommendation features
- Design RAG pipelines for club data retrieval and question answering
- Develop automated data enrichment using LLMs and structured extraction
- Optimize our llms.txt and AI platform integrations for citation and discovery
- Build evaluation frameworks to measure AI feature quality and accuracy
- Experiment with embeddings, fine-tuning, and prompt engineering for domain-specific tasks
What we are looking for
- 3+ years of ML/AI engineering experience, with at least 1 year working with LLMs
- Production experience with OpenAI, Anthropic, or similar APIs
- Strong Python and TypeScript skills
- Experience with vector databases, embeddings, and RAG architectures
- Understanding of prompt engineering, evaluation, and LLM reliability patterns
- Bonus: experience with AI-powered search or recommendation systems
What we offer
- Meaningful ownership: equity aligned with the impact of the role
- Competitive salary benchmarked to market
- In-person team based in North America
- AI-native tooling: every team member ships with AI agents
- Small team, high autonomy, zero bureaucracy
- Direct access to the founder and every decision
- Work on a product used by real people, solving real problems
- Build the category-defining platform for a $60B industry
Seven steps, seven days
We move fast because we respect your time. Seven steps, max seven days from first conversation to offer. Our hiring process is fully remote via video calls and email.
Application Review
We review your application and previous work.
Intro Call
A short conversation with Chris, our founder and CEO. He learns about your work, and you can ask anything about Private Clubs.
Take-home Assignment
A practical exercise designed to reflect the kind of problems you would work on in the role.
Assignment Review
We review your assignment and feedback together.
Team Conversations
2-3 video calls where you get the chance to meet future team members.
Reference Calls
A quick step to confirm the fit is right for both sides.
Offer
Welcome to the team.
Interested?
Send an email with your background, what interests you about this role, and a link to anything you have built.
Apply for this role