Nexxen is looking to enhance its real-time ad scoring and ranking system for bid optimization through the development of high-performance, large-scale services for its DSP Programmatic integrations and Platform product.
Requirements
- Hands-on senior experience working on DSP or SSP products
- 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
- Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch)
- Expertise working with data processing tech stack (Spark, MapReduce)
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
- Help troubleshoot production and customer issues
Other
- Bachelor's 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 communication skills with an ability to communicate complex concepts to non-technical stakeholders
- MS or PhD in computer science or equivalent experience (desired)
- Experience in LLM and GenAI (desired)
- Ability to work in a fast-paced, data-driven, and collaborative work environment