AI Engineer Product & Personalization at Sage Ai Labs

About UsWe’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 RoleWe’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 DoDevelop and deploy ML models for product personalization and recommendationsBuild dynamic pricing and bidding algorithms to optimize conversion and marginArchitect and maintain a scalable A/B testing and experimentation platformCollaborate on data and insights to support brand partnerships and growth effortsOwn the full model lifecycle — from prototype to production monitoring and iterationWork closely with infrastructure and backend teams to integrate AI into the productWhat We’re Looking For4–6+ years of experience in applied machine learning or data science rolesStrong foundation in ML algorithms, modeling, evaluation techniques, and deployment practicesProficiency in Python and ML libraries like scikit-learn, XGBoost, PyTorch, or TensorFlowExperience with embeddings, recommender systems, ranking modelsFamiliarity with experimentation design and statistical testing (e.g., A/B testing)Comfort working cross-functionally in a fast-paced, early-stage environmentBonus: ability to translate model performance into clear business and product impactOur Tech StackLanguages: Python, SQL, TypeScriptLibraries: scikit-learn, PyTorch, custom modelsInfra: GCP (BigQuery, Cloud Functions, Pub/Sub), PostgreSQLTooling: In-house + open-source tools for monitoring, model ops, and testingWhy Join UsDirect impact – Your models will drive user experience, pricing, and growth strategiesWork across the stack – Collaborate with backend, infra, and data teams to ship AI into productionIn-person momentum – Join a tight-knit, focused team working together daily in San FranciscoProven leadership – Build alongside the founder of Google X, Waymo and UdacityCompensation & equity – Well-funded startup with competitive salary and meaningful equity