Senior Machine Learning Engineer

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Nexxen

πŸ’΅ $180k-$220k
πŸ“Remote - United States

Summary

Join Nexxen's Applied Data Science group as a Sr. Machine Learning Engineer and build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. Collaborate with data scientists to develop high-performance services for Nexxen DSP Programmatic integrations and Platform product, drive innovation using AI and machine learning, and invent solutions for complex ad challenges. Lead ad algorithm architecture design, develop scalable data analysis approaches, build and optimize algorithms and models, and collaborate with various teams. Troubleshoot production and customer issues, follow agile methodologies, and communicate complex concepts to non-technical stakeholders. This remote-friendly position offers a 3-day hybrid schedule option depending on location.

Requirements

  • Bachelor's in Computer Science or a related field of study
  • Experience within the AdTech industry
  • Hands-on senior experience working on DSP or SSP products
  • 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 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
  • Interest in ad campaign optimization and iterative model updates
  • Experience building applications on top of large-scale ML/DL frameworks ( TensorFlow, PyTorch)
  • Expertise working with data processing tech stack (Spark, MapReduce)
  • 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

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
  • 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

Preferred Qualifications

  • MS or PhD in computer science or equivalent experience
  • Experience in LLM and GenAI

Benefits

  • Medical, dental, vision, disability insurance
  • 401(k)
  • EAP
  • Parental leave
  • Discretionary time off
  • Company-paid holidays

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