Founding AI Engineer: Personalization & Travel Intelligence

Pearl; San Francisco (CA); Hybrid; USD 180,000 - 290,000; Full time

Benefits offered by this job

Real ownership

Hands-on projects

Small founding team

Salary and equity negotiable

Job summary

Pearl in San Francisco is building the Ferrari of travel, delivering personalized experiences through taste-curation models and a production-grade AI agent that plans itineraries and handles bookings for top travelers.

You will own end-to-end systems, improve search and ranking, embed data, and ensure latency, cost and uptime are managed as we scale the platform with a small founding team. Hybrid work and opportunity to shape the product await.

Qualifications

• Experience shipping ML models to production in a real product.
• Strong focus on user experience in luxury travel.
• Ability to own end-to-end system from idea to production.
• Familiarity with retrieval, embeddings, and ranking.
• Experience with recommender systems and geospatial data is a plus.

Responsibilities

• Own the taste and curation models members actually use
• Improve search, maps, ranking, and retrieval so people find the right place
• Embed member, venue, and social data so the system actually understands taste
• Power the AI agent that plans itineraries and completes bookings
• Put models in production. Evals, latency, cost, and uptime are yours. If it is wrong, you see it
• Sit with the product. Talk to members and venues. Cut scope. Ship.
• Be part of hiring and interviewing the next engineers, and help set how this team works

Skills

Taste models

Ranking models

Retrieval systems

Embeddings

Production deployment

Python

TypeScript

Tools

TensorFlow

PyTorch

Docker

Job description

Pearl in San Francisco is building the Ferrari of travel, delivering personalized experiences through taste-curation models and a production-grade AI agent that plans itineraries and handles bookings for top travelers.

You will own end-to-end systems, improve search and ranking, embed data, and ensure latency, cost and uptime are managed as we scale the platform with a small founding team. Hybrid work and opportunity to shape the product await.