[Remote] Principal AI/ML Engineer - AdTech

Note: The job is a remote job and is open to candidates in USA. Zeta Global is an AI-Powered Marketing Cloud that utilizes advanced artificial intelligence to enhance marketing efficiency. The Principal AI/ML Engineer will lead the development of machine learning models and AI-driven features for the advertising platform, focusing on campaign optimization and user personalization at scale.

Responsibilities

• Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases
• Architect 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
• Define 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
• Develop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes
• Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions
• Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment
• Provide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices

Skills

• 10+ 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 applications
• Deep expertise in the programmatic advertising ecosystem, including Demand-Side Platforms (DSPs), real-time bidding (RTB), Supply-Side Platforms (SSPs), and ad exchanges
• Proficiency in programming languages such as Java, Go, and Python for building both data-intensive backend services and ML tools
• Hands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow, for developing and training models
• Strong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop) for processing and analyzing large datasets
• Expertise with cloud platforms (preferably AWS) and related services for scalable ML model deployment and data storage
• Experience 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 scale
• Excellent communication, presentation, and interpersonal skills, with ability to convey complex ML concepts to technical and non-technical stakeholders
• Experience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messaging
• Experience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaigns
• Experience 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 datasets
• Knowledge of microservices architecture and event-driven design patterns in distributed systems
• A track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/ML

Benefits

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

Company Overview

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