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.
Requirements
Bachelor's in Computer Science or a related field of study
5+ years of engineering experience working at a leading AdTech Vendor Company
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.