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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 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity 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 Locations . 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. What You’ll Do: 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. What You’ll Bring: 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 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. Desired Qualifications: MS or PhD in computer science or equivalent experience. Experience within 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. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. 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. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-HYBRID For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice

• Ensure only authentic, high-signal, human data gets through • Build AI-generated image & video detection • Implement reverse image search & internet plagiarism rejection • Develop duplicate fingerprinting systems • Detect copyright risk and metadata tampering • Create fraud network & device clustering systems • Establish human-in-the-loop verification pipelines

• Design and deliver AI/ML solutions for operational readiness and faster decision-making • Lead development of AI/ML architectures for fleet operations and logistics • Collaborate with cross‑functional teams to translate complex requirements • Drive outcomes such as reduced processing times and increased predictive accuracy • Utilize modern technologies like TensorFlow, PyTorch, and secure computation to meet security requirements