Techlink Resources is hiring: Machine Learning Engineer with AdTech exp - NO H-1

Machine Learning Engineer with AdTech exp - NO H-1B or C2C This role is offered by TechLink Resources, Inc. Your actual pay will be based on your skills and experience. The recruiter will provide additional details.
Base pay range $95.00/hr - $103.00/hr
Direct message the job poster from TechLink Resources, Inc.
Computer Vision/ Machine Learning Engineer
Ad Platforms organization within Company Technology is fully responsible for building, enhancing, and maintaining a high-performance, distributed, microservice-based advertising platform across all of Company online properties. The team builds proprietary technology for ad serving, delivery, campaign management, reporting, and video advertising.
The research team focuses on transforming advertising using AI and data science, creating solutions to measure and optimize every aspect of the advertising life cycle. The team seeks a senior machine learning engineer to develop algorithms for addressable ad platforms.
Responsibilities: Drive innovation and apply state-of-the-art AI and machine learning to improve inventory forecasting, ad experience, pacing, pricing, targeting, and delivery.
Invent and iterate novel solutions for complex ad challenges with fast turnaround.
Lead the ad algorithm architecture design and system iteration.
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 engineering teams, product managers, and program managers in an open, creative environment.
Basic Qualifications: MS or PhD (preferred) in computer science or equivalent experience.
At least 3 years of experience on large-scale machine learning at leading internet companies; advertising domain experience is preferred.
Strong knowledge of AI/ML technologies, mathematics, and statistics.
Proficiency in Java, Python, Scala, and large-scale ML/DL platforms and processing tech stack.
Passion for understanding the ad business and applying advanced research to relevant business scenarios, seeking innovation opportunities to enhance business effectiveness.
Experience building data-driven services and applications in a fast-paced, collaborative environment.
Track record of thriving in a data-driven, collaborative work setting.
Preferred Qualifications: Experience with CTR/CVR modeling, generative AI.
Experience with feature store, audience segmentation, and MLOps.
Experience with TensorFlow, Kubeflow, or SageMaker.
Required Education: MS/PHD preferred.
Additional Information: Location preferences: Santa Monica/Seattle/San Francisco. Fully remote is OK but must be near these locations.

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In Summary: The Ad Platforms organization within Company Technology is fully responsible for building, enhancing, and maintaining a high-performance, distributed, microservice-based advertising platform . The research team focuses on transforming advertising using AI and data science, creating solutions to measure and optimize every aspect of the advertising life cycle . The team seeks a senior machine learning engineer to develop algorithms for addressable ad platforms . Responsibilities: Drive innovation and apply state-of-the-art AI and machine learning .

En Español:

Ingeniero de aprendizaje automático con AdTech exp - NO H-1B o C2C Este puesto es ofrecido por TechLink Resources, Inc. Su salario real se basará en sus habilidades y experiencia. El reclutador proporcionará detalles adicionales. Rango de pago básico $95.00/h - $103.00/hr Mensaje directo el póster del trabajo de Techlink Resources , Inc. El equipo busca un ingeniero de aprendizaje automático senior para desarrollar algoritmos para plataformas publicitarias direccionables. Responsabilidades: impulsar la innovación y experimentar con nuevos algoritmos y modelos de extremo a extremo, desde el despliegue de producción hasta la optimización continua. Colaborar con equipos de ingeniería, gerentes de productos y administradores de programas en un entorno abierto y creativo. Qualificaciones básicas: MS o Tens (preferencia) en ciencias de la computación o una experiencia estadística equivalente. Al menos 3 años de gran experiencia en diseño de arquitectura de algoritmo de anuncios e iteration del sistema. Desarrollar enfoques escalables y eficientes para análisis de datos a gran escala y desarrollo de modelos. Construir y experimenta con nuevos algorítomos y modelos end-to-end, desde rollout de producción a optimización continuada. Todo remoto está bien pero debe estar cerca de estos lugares. #J-18808-Ljbffr