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Principal AI/ML Engineer - AdTech

4 weeks, 1 day ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
Apache Spark AWS Cassandra Docker DynamoDB Generative AI Go Hadoop Java Kafka Kubernetes LLM Machine Learning Microservices MySQL PostgreSQL Python PyTorch Redis SQL TensorFlow
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Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007
View All Jobs 62

Description

  • Lead the design and implementation of scalable, high-performance, and resilient machine learning solutions for AdTech use cases.
  • Architect and evolve the end-to-end ML pipeline from data ingestion and training to real-time inference.
  • Define the technical roadmap and vision for AI/ML in the platform, including build-versus-buy decisions and evaluation of emerging technologies.
  • Develop intelligent systems using AI agents and agentic workflows to automate and optimize campaign processes.
  • Leverage LLMs and generative AI to support audience segmentation, dynamic bid adjustments, and creative asset generation.
  • Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions.
  • Ensure ML systems integrate with ad serving architecture and meet low-latency, high-throughput requirements.
  • Optimize algorithms and infrastructure for speed, scalability, monitoring, and production reliability.
  • Provide technical guidance, mentorship, code reviews, and model reviews to other engineers and data scientists.

Requirements

  • 10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role.
  • Experience in the AdTech or MarTech industry is preferred.
  • 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 DSPs, RTB, SSPs, and ad exchanges.
  • Proficiency in Java, Go, and Python for building backend services and ML tools.
  • Hands-on experience with PyTorch or TensorFlow for developing and training models.
  • Strong experience with big data and streaming frameworks such as Apache Spark, Kafka, and Hadoop.
  • Experience with cloud platforms, preferably AWS, for scalable ML deployment and data storage.
  • Experience with SQL and NoSQL databases such as MySQL, PostgreSQL, Cassandra, DynamoDB, and Redis.
  • Familiarity with Docker and Kubernetes for deploying and managing services at scale.
  • Excellent communication, presentation, and interpersonal skills for explaining complex ML concepts to technical and non-technical stakeholders.
  • Experience with LLMs and generative AI applied to advertising is preferred.
  • Experience designing agentic workflows for autonomous decision-making and real-time campaign optimization is preferred.
  • Experience with machine learning model serving and optimization for real-time inference is preferred.
  • Familiarity with Apache Iceberg and Apache Hudi is preferred.
  • Knowledge of microservices architecture and event-driven design patterns is preferred.
  • A track record of open-source contributions or industry conference speaking is preferred.

Benefits

  • Unlimited PTO.
  • Excellent medical, dental, and vision coverage.
  • Employee equity.
  • Employee discounts.
  • Virtual wellness classes.
  • Pet insurance.
  • Salary range of $300,000 to $400,000, depending on location and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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