Sr. Machine Learning Engineer (NO H1B OR C2C)-Major Entertainment Company Job at

Location: West Coast Preferred (Seattle or Santa Monica)

About the Team
The Ad Platforms organization within Company Technology is responsible for building and operating a high-performance, distributed, microservice-based advertising platform across Company’s online properties.

This team develops and maintains proprietary ad technology spanning ad serving, delivery, campaign management, forecasting, reporting, and complex internal and external integrations that power a world-class video advertising business.

Our mission is to advance AI and machine learning across the Ad Platform by delivering scalable, high-impact ML solutions that improve ad decisioning, forecasting, experimentation, pricing, targeting, and overall ad experience.

The Role
We are seeking a Senior Machine Learning Engineer (Research) to help drive state-of-the-art AI innovation across advertising domains. This is a high-impact role for an experienced ML engineer who thrives at the intersection of technical depth, strategic influence, and cross-functional collaboration.

What You’ll Do

Apply advanced AI and machine learning techniques across advertising use cases including:

Inventory forecasting

Ad pacing and pricing

Targeting and personalization

Ad experience optimization

Rapidly prototype and deploy novel ML solutions to complex advertising challenges.

Design, build, and scale production-grade ML systems that power core ad platform capabilities.

Ensure engineering excellence through best practices in system design, code quality, and operational reliability.

Mentor junior engineers and contribute to a strong technical culture of innovation and continuous learning.

Basic Qualifications

MS (PhD preferred) in Computer Science or equivalent experience

3+ years of hands-on experience developing and deploying large-scale ML systems

Strong foundations in:

Machine learning theory

Mathematics and statistics

Algorithms and data structures

Numerical optimization

Programming expertise in Python (primary), plus Java and SQL

Experience with ML frameworks such as:

TensorFlow

PyTorch

Proven experience with:

Deep learning (recurrent and sequence-based models)

RAG architectures and LLM evaluation methodologies

Excellent communication and collaboration skills

Demonstrated success in fast-paced, data-driven environments

Preferred Qualifications

Experience with Databricks

Experience with AWS SageMaker

Education

Required: BA/BS in Computer Science, Information Systems, or related field

Preferred: MS or PhD

Why This Role is Exciting

Work on ML systems that power advertising at massive scale

Apply cutting-edge deep learning and LLM research in real-world production systems

Influence next-generation AI capabilities across major streaming platforms

Operate in a highly collaborative, fast-moving engineering environment

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In Summary: The Ad Platforms organization within Company Technology is responsible for building and operating a high-performance, distributed, microservice-based advertising platform across Company’s online properties . Apply advanced AI and machine learning techniques across advertising use cases including: Inventory forecasting Ad pacing and pricing .

En Español:

Ingeniero de aprendizaje automático Senior Localización de investigación: West Coast Preferred (Seattle o Santa Monica) Sobre el equipo La organización Ad Platforms dentro de Company Technology es responsable de construir y operar una plataforma publicitaria basada en microservicios, distribuida y de alto rendimiento a través de las propiedades online de la compañía. Este equipo desarrolla y mantiene tecnología publicitaria patentada que abarca anuncios, entrega, gestión de campañas, pronóstico, informes e integraciones internas y externas complejas que impulsan un negocio de video publicidad de clase mundial. Esta es una función de alto impacto para un ingeniero ML experimentado que prospera en la intersección de profundidad técnica, influencia estratégica y colaboración transfuncional. Lo que usted hará Aplicar técnicas avanzadas de inteligencia artificial y aprendizaje automático a través de casos de uso publicitario incluyendo: previsión de inventarios Pacing Ad y precios Orientación y personalización Optimización de experiencia de anuncio Entrega eficiente de anuncios Prototipando rápidamente y desplegando nuevas soluciones de ML a complejos desafíos publicitarios. Diseñar, construir y implementar sistemas ML de grado de producción que impulsan las capacidades básicas de la plataforma publicitaria. Asegurar la excelencia de la ingeniería mediante mejores prácticas en diseño del sistema, calidad del código y fiabilidad operativa. Ingenieros Mentores y contribuir a una fuerte cultura técnica de innovación y el aprendizaje continuo. Qualificaciones junior (PhDred) en plataformas de transmisión de datos o experiencias equivalentes Las competencias más eficientes de los modelos de marketing Excitados 3+ años de estadísticas generales Evaluación de conocimientos básicos y métodos expertos de gestión de datos Encuestas basados en tecnología de software y desarrollo de computadora Los principales sistemas de aprendizaje con arquitecturas gráficas, programas informáticos (PYTM-L), Máquinas de aprendizajes y aplicaciones digitales, Maestría de trabajo, Proyeo Optometría de información (MAG/Multraje).