[Remote] Principal AI/ML Engineer - AdTech

Note: The job is a remote job and is open to candidates in USA. Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and consumer signals for efficient customer acquisition and retention. The Principal AI/ML Engineer will drive the development of machine learning models and AI-driven features for the advertising platform, focusing on campaign optimization and user personalization.ResponsibilitiesLead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases. You will set technical direction for integrating AI/ML into our Demand-Side Platform and broader ad tech stackArchitect and evolve the end-to-end machine learning pipeline – from data ingestion and training to real-time inference, for our real-time bidding, targeting, and optimization algorithms. Ensure that models seamlessly integrate with our ad serving architecture and handle low-latency, high-throughput requirementsDefine the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions. Continuously assess emerging technologies to keep our AdTech capabilities on the cutting edgeDevelop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes. Leverage LLMs and generative AI to enable autonomous campaign management tasks such as audience segmentation, dynamic bid adjustments, and creative asset generationPartner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions. Work closely with stakeholders to deliver innovative features – including those powered by Large Language Models (LLMs), that enhance our advertising productsEnsure system robustness and stability for ML services in a high-concurrency, low-latency environment. Optimize algorithms and infrastructure for speed and scalability, and implement monitoring to maintain model performance and uptime in productionProvide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices. Review code and models, share knowledge, and champion continuous improvement across teamsSkills10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role (preferably in the AdTech/MarTech industry)Proven experience designing and building high-throughput, low-latency distributed systems or data pipelines for large-scale applicationsDeep expertise in the programmatic advertising ecosystem, including Demand-Side Platforms (DSPs), real-time bidding (RTB), Supply-Side Platforms (SSPs), and ad exchangesProficiency in programming languages such as Java, Go, and Python for building both data-intensive backend services and ML toolsHands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow, for developing and training modelsStrong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop) for processing and analyzing large datasetsExpertise with cloud platforms (preferably AWS) and related services for scalable ML model deployment and data storageExperience with various data stores, including both SQL and NoSQL databases (e.g., MySQL/PostgreSQL, Cassandra, DynamoDB, Redis)Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing services at scaleExcellent communication, presentation, and interpersonal skills, with ability to convey complex ML concepts to technical and non-technical stakeholdersExperience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messagingExperience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaignsExperience with machine learning model serving and optimization for real-time inference applications (latency-critical environments)Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasetsKnowledge of microservices architecture and event-driven design patterns in distributed systemsA track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/MLBenefitsUnlimited PTOExcellent medical, dental, and vision coverageEmployee EquityEmployee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!Company OverviewZeta offers technology and marketing services to help brands acquire, engage, and retain customers. It was founded in 2007, and is headquartered in New York, New York, USA, with a workforce of 1001-5000 employees. Its website is http://www.zetaglobal.com.Company H1B SponsorshipZeta Global has a track record of offering H1B sponsorships, with 8 in 2026, 20 in 2025, 17 in 2024, 11 in 2023, 6 in 2022, 8 in 2021, 16 in 2020. Please note that this does not guarantee sponsorship for this specific role.