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Content Summary: Machine Learning Engineer - Advertising at New York, for Harnham Machine Learning Engineer Advertising $180,000-$200,000 Hybrid - 3 days onsite in NYC About the Company Harnham is partnering with a forward-thinking advertising services company specializing in performance branding - leveraging AI, data science, and machine learning to optimize digital campaigns at scale. With a focus on cutting-edge ad technology, they work with some of the world's most recognized brands to drive measurable impact across multiple platforms. Their culture thrives on innovation, collaboration, and a passion for AI-driven marketing solutions. The Role As a Machine Learning Engineer, you will be at the forefront of building and optimizing machine learning models that power intelligent advertising solutions. This role requires expertise in machine learning, deep learning, and large-scale data processing to enhance ad targeting, audience segmentation, and campaign effectiveness. You'll collaborate with cross functional teams to implement AI models that drive real business impact. Key Responsibilities Design, build, and deploy machine learning models for optimizing ad performance and targeting Work with large-scale datasets to extract insights and enhance ad delivery strategies Develop and fine-tune real-time recommendation systems and predictive models Implement and optimize deep learning models for personalization, content ranking, and audience segmentation Collaborate with cross-functional teams to integrate AI-driven solutions into the company's ad platform Enhance model efficiency and scalability for real-time applications Stay up to date with advancements in machine learning, deep learning, and AI-driven marketing Your Background and Expertise Strong background in machine learning, deep learning, and AI-driven optimization. Experience with Python, TensorFlow, PyTorch, Scikit-learn, and MLflow. Expertise in NLP, computer vision, recommendation systems, or reinforcement learning is a plus. Proficient in cloud platforms (AWS, GCP, or Azure). Experience with MLOps tools (Docker, Kubernetes, Airflow, CI/CD pipelines). Background in ad tech, marketing analytics, or performance-driven AI solutions is a plus. Passion for building AI systems that drive measurable business results. How to Apply If this role sounds like a good fit, send your resume to Virginia via the apply link on this page. Keywords LLM | NLP | Artificial Intelligency | Multimodal AI | Fine-Tuning | Retrieval - Augmented Generation (RAG) | Personalization | Recommendation | Generative AI | MLOps | LangChain | AWS |GCP | Customer retention