Nexxen is hiring: Senior Machine Learning Engineer, AdTech in New York

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.

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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 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:

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 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.

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In Summary: The Sr. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development . The right person for this role should be experienced in crafting implementations for either machine learning technologies or data‑driven algorithms . The role can be based in our local office Locations .

En Español:

¿Quién es Nexxen? Publicidad flexible, unificada por datos. ¿Por qué unirse al equipo de Nexten? Con una huella global, usted puede formar parte de un equipo que está transformando la publicidad a través de nuestras soluciones creativas, flexibles y unificadas. Nuestros empleados se apresuran, comprometieron y se dedican a los pilares que forman el Camino 3Cs - Publicación del cliente, mentalidad curiosa, colaboración con No. Notificación de su seguridad: Se requiere que nos solicite información sobre las condiciones actuales de trabajo o cualquier otro tipo de pago en línea. Manténgase seguro e informado. Alerta y aviso sobre el fraude de Nexxen: Protege-te de la imitación y las actividades fraudulentas El ingeniero de aprendizaje automático Sr. se unirá a nuestro grupo de ciencia aplicada de datos, parte del desarrollo de software DSP de Nexten. En este papel práctico, trabajará en estrecha colaboración con los científicos de datos para construir la próxima generación de infraestructura de ciencias de datos aplicadas para la optimización de rendimiento en tiempo real y soluciones de aprendizamiento automático. La persona adecuada para este rol debe tener experiencia en crear implementaciones tanto para tecnologías de machine learning como para algoritmos basados en datos. Si eres proactivo e innovador en estos dominios, este es un papel fenomenal para ti! Nuestro equipo sigue un horario híbrido, trabaja en la oficina tres días a la semana y de forma remota durante el resto del tiempo o está abierto al trabajo remoto para cualquier persona con experiencia avanzada como proveedor de adtech. Lo que harás: Desarrollar servicios críticos de alto rendimiento y a gran escala para las integraciones programáticas Nexxen DSP y el desarrollo del producto Platform Drive e implementar innovación innovadora y aplicar IA y aprendizaje automático de última generación en una variedad de áreas para mejorar un sistema de puntuación y clasificación de anuncios en tiempo real para optimizar ofertas Inventando e iterando soluciones novedosas para desafíos publicitarios complejos con redirección rápida. El diseño de arquitectura de algoritmos y la iteración del sistema de publicidad. Desarrollar enfoques eficientes y eficaces para el análisis de datos a grande escala y desarrollando modelos de datos. Construir y crear habilidades experimentales creativas con nuevos algoritmo y modelos de producción rápidos de productos SQL. Si bien esta es nuestra expectativa razonable esto no es una garantía de compensación o salario, la indemnización real está influenciada por una amplia gama de factores que incluyen pero no se limitan a un conjunto de habilidades, nivel de experiencia, educación, certificaciones, responsabilidad y ubicación geográfica. Los candidatos contratados para trabajar en otros lugares estarán sujetos al rango de pago asociado con ese lugar. Ofrecemos una variedad de beneficios como seguro médico, dental, visión, discapacidad, 401 (k), EAP, licencia parental, tiempo libre discrecional y vacaciones pagadas por la compañía.