July 22
🔄 Hybrid – San Francisco
• Design, develop, and optimize machine learning algorithms for our feed and shopping recommendation systems. • Analyze large datasets to extract meaningful insights and improve model performance. • Deploy and monitor machine learning models in a production environment, ensuring their scalability and reliability. • Work closely with cross-functional teams, including product, engineering, and marketing, to integrate AI solutions seamlessly into our platform. • Stay up-to-date with the latest advancements in AI and machine learning, applying new techniques to enhance our recommendation systems. • Address complex challenges related to recommendation algorithms, user engagement, and monetization strategies.
• 5+ years of experience working on AI applications, ideally working on social networking or e-commerce platforms. • Strong proficiency in machine learning algorithms, data analysis, and programming languages such as Python, TensorFlow, and PyTorch. • Experience developing recommendation systems for feeds and/or ads ranking, with a focus on user engagement and monetization. • Ability to analyze and interpret complex data, and use insights to drive AI innovation. • Excellent collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment. • Strong verbal and written communication skills, with the ability to convey complex AI concepts to non-technical stakeholders. • A genuine passion for leveraging AI to enhance user experiences and drive business growth in a dynamic startup environment.
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