Senior Machine Learning Engineer

Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters all 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.

We are a hybrid company: our team works 3 days a week in the NY office and remotely the rest of the week.

• 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 leading technology companies.
• A history of successfully taking ownership of features/functionality and delivering end‑to‑end projects
• 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 in 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, data‑driven, and collaborative work environment is required.
• Strong communication skills with an ability to communicate complex concepts to non‑technical stakeholders.

• MS or PhD in computer science or equivalent experience.
• Experience with in AdTech industry.
• Experience in LLM and GenAI.

In support of pay transparency and equity, the minimum and maximum full‑time annual base salary for this role in New York is $180,000 - $220,000 at the time of posting.

We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company‑paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type.

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