Senior Machine Learning Engineer, AdTech

Overview

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core.

Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3

Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.

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The Sr. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementations for either machine learning technologies or data-driven algorithms.

If you are proactive and innovative in these domains, this is a phenomenal role for you!

This role can be based in our local office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest, or is open to remote work for anyone with senior hands-on adtech vendor experience.

• 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

• 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 No
  
  SQL 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 (Tensor Flow, PyTorch)
• Expertise working with data processing tech stack (Spark, Map Reduce)
• 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,…