Machine Learning Engineer with AdTech exp - NO H-1B or C2C

Machine Learning Engineer with AdTech exp - NO H-1B or C2CThis 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.#J-18808-Ljbffr