AI Engineer – Product & Personalization bei Sage AI Labs

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