3 hours ago
Base Salary
$180k - $22k/yr
Responsibilities
- Develop high-performance, large-scale services for Nexxen DSP programmatic 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.
- At least 5 years of engineering experience at leading technology companies.
- Demonstrated ownership of features or functionality and end-to-end project delivery.
- Strong knowledge of AI/ML technologies, neural networks, mathematics, and statistics, including implementation experience with ONNX.
- Expertise in Java, Python, Scala, data structures, and algorithms.
- Experience building applications with TensorFlow and PyTorch.
- Expertise with Spark, MapReduce, and data-driven services and applications such as ETL.
- Experience collaborating with Data Science, Product, and Business stakeholders.
- Strong communication skills and ability to explain complex concepts to non-technical stakeholders.
- Preferred qualifications include an MS or PhD in computer science or equivalent experience, AdTech experience, and experience with LLMs and GenAI.
Benefits
- Full-time annual base salary range of $180,000-$220,00, with potential incentive or bonus.
- Medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays.
- Benefits and program availability vary by state, start date, and employment type.
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.