Recommendation System Engineer

• 3+ years of professional experience in machine learning or recommendation systems. • Strong coding skills in one or more languages: Python, Java, or Scala. • Solid understanding of machine learning fundamentals, especially in ranking, collaborative filtering, and personalization. • Hands-on experience with data processing frameworks (e.g., Spark, Flink) and ML libraries. • Strong problem-solving and communication skills. • Experience in A/B testing and online experimentation. • Familiarity with graph-based or deep learning approaches for recommendation. • Ability to leverage AI coding tools to boost productivity. • Experience with large-scale distributed systems and real-time serving. • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry. • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward. • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage. • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.