AI Engineer – Product & Personalization
About Us
We’re building the AI-powered super shopping app — a powerful, intuitive platform designed to streamline how people discover and buy products online. Our mission is to help people get the best deals on the products they love, through a fast, intelligent, and delightful experience.
We’re an early-stage startup based in San Francisco, led by the founder of Waymo and Udacity. With data at the core of our product, we’re leveraging AI to power everything from personalization to pricing — and we're looking for exceptional engineers to shape that future.
About the Role
We’re looking for a sharp, product-focused AI Engineer to join our team and own key machine learning systems that directly impact user experience and revenue. You’ll be responsible for building and deploying intelligent systems across several high-leverage areas: product personalization and recommendations, and a scalable A/B testing platform.
This is a hands-on, highly collaborative role with direct influence over product direction and growth. You'll work closely with engineers, product managers, and business stakeholders to turn raw data into real-world impact — including supporting brand partnership pitches through insights and modeling.
What You’ll Do
Develop and deploy ML models for product personalization and recommendations
Build dynamic pricing and bidding algorithms to optimize conversion and margin
Architect and maintain a scalable A/B testing and experimentation platform
Collaborate on data and insights to support brand partnerships and growth efforts
Own the full model lifecycle — from prototype to production monitoring and iteration
Work closely with infrastructure and backend teams to integrate AI into the product
What We’re Looking For
4–6+ years of experience in applied machine learning or data science roles
Strong foundation in ML algorithms, modeling, evaluation techniques, and deployment practices
Proficiency in Python and ML libraries like scikit-learn, XGBoost, PyTorch, or TensorFlow
Experience with embeddings, recommender systems, ranking models
Familiarity with experimentation design and statistical testing (e.g., A/B testing)
Comfort working cross-functionally in a fast-paced, early-stage environment
Bonus: ability to translate model performance into clear business and product impact
Our Tech Stack
Languages: Python, SQL, TypeScript
Libraries: scikit-learn, PyTorch, custom models
Infra: GCP (BigQuery, Cloud Functions, Pub/Sub), PostgreSQL
Tooling: In-house + open-source tools for monitoring, model ops, and testing
Why Join Us
Direct impact – Your models will drive user experience, pricing, and growth strategies
Work across the stack – Collaborate with backend, infra, and data teams to ship AI into production
In-person momentum – Join a tight-knit, focused team working together daily in San Francisco
Proven leadership – Build alongside the founder of Google X, Waymo and Udacity
Compensation & equity – Well-funded startup with competitive salary and meaningful
equity
Average salary estimate
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