3 hours ago
Responsibilities
- Develop high-performance, large-scale services for Nexxen DSP integrations and platform products.
- Apply AI and machine learning to real-time ad scoring, ranking, and bid optimization.
- Develop scalable approaches for large-scale data analysis and model development.
- Build, experiment with, deploy, and continuously optimize algorithms and models.
- Collaborate with data scientists, engineering teams, product managers, and program managers.
- Troubleshoot production and customer issues.
Requirements
- Bachelor’s degree in computer science or a related field.
- 5+ years of engineering experience at leading technology companies.
- Experience taking ownership of features or functionality and delivering projects end-to-end.
- Strong knowledge of AI/ML technologies, neural networks, ONNX, mathematics, and statistics.
- Expertise in Java, Python, and Scala.
- In-depth knowledge of data structures and algorithms.
- Experience with large-scale machine learning and deep learning frameworks such as TensorFlow and PyTorch.
- Expertise with Spark and MapReduce for data processing.
- Experience building data-driven services and applications, including ETL.
- Experience collaborating across data science, product, and business functions.
- Strong communication skills, including the ability to explain complex concepts to non-technical stakeholders.
- A master’s or PhD in computer science or equivalent experience is desired.
- AdTech industry experience and experience with LLMs and generative AI are desired.
Tech Stack
Categories
About Nexxen
Nexxen builds programmatic advertising technology—a DSP, SSP, and data platform—used by brands, agencies, and publishers to plan, buy, and monetize TV/CTV and digital video. The public company earns media-buying and platform fees and operates across North America, Europe, and APAC. Headquartered in New York, it is listed in London and focuses on data-driven campaigns across converged media.