AI Engineer – Product & Personalization

Sage AI Labs • San Francisco, CA

85d

About The Position

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.

Requirements

• 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

Nice To Haves

• Ability to translate model performance into clear business and product impact

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Career Level: Mid Level