Redwood City, CA30+ days ago
What You'll Bring: • Bachelors in Computer Science or a related field of study • 5+ years of engineering experience working at leading technology companies • A history of successfully taking ownership of features/functionality and delivering end-to-end project • Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics • Expertise in Java, Python, and Scala • In-depth knowledge of data structures and algorithms • Practical experience working with large NoSQL databases like Aerospike and Cassandra • Interest in ad campaign optimization and iterative model updates • Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch) • Expertise working with data processing tech stack (Spark, MapReduce) • Expertise in building data-driven services and applications (ETL) • Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required • Strong communication skills with an ability to communicate complex concepts to non-technical stakeholders. What You'll Do: • Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product • Drive ground-breaking innovation and apply state-of-the-art AI and machine learning in a variety of areas to enhance a real-time ad scoring and ranking system for bid optimization • Invent and iterate novel solutions for complex ad challenges with fast turnaround • Lead the ad algorithm architecture design and iteration of the advertising system • Develop scalable and efficient approaches for large-scale data analysis and model development • Build and experiment with new algorithms and models end-to-end, from production rollout to continuous optimization • Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment • Help troubleshoot production and customer issues • Follow agile methodologies and work in a fast-paced environment where one can quickly see the results of the work being performed.