Bachelor's in Computer Science or a related field of study
Experience within the AdTech industry
Hands-on senior experience working on DSP or SSP products
5+ years of engineering experience working at leading technology companies
A history of successfully taking ownership of features/functionality and delivering end-to-end projects
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
Strong communication skills
Responsibilities
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