Job Description

The Sr. Machine Learning Engineer will join the Applied Data Science group to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. This role involves collaborating with data scientists, developing high-performance services, driving innovation in AI/ML, and building scalable solutions for ad challenges.

Responsibilities

• Develop high-performance services for Nexxen DSP Programmatic integrations and Platform product
• Drive innovation and apply AI and machine learning to enhance real-time ad scoring and ranking
• Invent and iterate solutions for complex ad challenges
• Lead ad algorithm architecture design and iteration
• Develop scalable approaches for large-scale data analysis and model development
• Build and experiment with new algorithms and models
• Collaborate with various teams in an open environment
• Help troubleshoot production and customer issues
• Follow agile methodologies

Requirements

• Bachelor's in Computer Science or related field
• 5+ years of engineering experience
• Experience implementing AI/ML technologies, mathematics, and statistics
• Expertise in Java, Python, and Scala
• In-depth knowledge of data structures and algorithms
• Practical experience with NoSQL databases like Aerospike and Cassandra
• Interest in ad campaign optimization
• Experience building applications on ML/DL frameworks (TensorFlow, PyTorch)
• Expertise working with data processing tech stack (Spark, MapReduce)
• Expertise in building data-driven services and applications (ETL)
• Experience with interdisciplinary collaborations
• Proven track record in a fast-paced, data-driven, and collaborative environment
• Strong communication skills

Benefits

• No benefits