AI Engineer for Ads

Company Description Synter focuses on building AI agents designed to drive measurable growth for advertising and marketing initiatives. The company develops intelligent systems that optimize campaigns, enhance audience targeting, and improve return on ad spend. Synter collaborates with forward-thinking brands that want to leverage advanced AI to scale their customer acquisition and engagement. Team members at Synter work with cutting-edge technologies in a fast-paced, experimentation-driven environment. The organization values innovation, practical problem-solving, and data-informed decision making. Role Description The AI Engineer for Advertising is a full-time remote role responsible for designing, building, and optimizing AI-driven solutions that support growth-focused advertising campaigns. Day-to-day tasks include developing and training models for pattern recognition and targeting, implementing neural network architectures, and applying NLP techniques to analyze and generate ad-related content. The role involves collaborating closely with product, marketing, and data teams to translate business goals into technical requirements, test hypotheses, and iterate on AI agents that improve campaign performance. The AI Engineer will maintain clean, scalable codebases, integrate models into production systems, monitor model performance, and refine algorithms based on real-world data and feedback. This role also includes documenting solutions, participating in code reviews, and staying current with advances in AI and advertising technology. Qualifications Strong foundation in Computer Science and Software Development, including data structures, algorithms, and modern programming languages (e.g., Python, Java, or similar). Demonstrated experience with Neural Networks and Pattern Recognition, including building, training, and evaluating machine learning or deep learning models. Hands-on expertise in Natural Language Processing (NLP), such as text classification, sentiment analysis, or generative models for advertising use cases. Experience deploying AI models into production systems, working with cloud platforms (e.g., AWS, GCP, Azure), and using ML frameworks (e.g., TensorFlow, PyTorch). Strong analytical and problem-solving skills, with the ability to interpret performance metrics and optimize models for business outcomes. Effective written and verbal communication skills, and the ability to collaborate in a distributed, remote-first team environment. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience. Experience in advertising technology, marketing analytics, or growth-focused products is a plus.