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Principal AI/ML Engineer - AdTech

3 months, 4 weeks ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
Apache Spark AWS Cassandra Deep Learning Docker DynamoDB Generative AI Go Hadoop Java Kafka Kubernetes LLM Machine Learning Microservices MySQL PostgreSQL Python PyTorch Redis 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 21

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.
  • Set technical direction for integrating AI/ML into the Demand-Side Platform and broader ad tech stack.
  • Define the technical roadmap for AI/ML, including evaluation of new tools, deep learning methods, and LLMs.
  • Develop intelligent systems 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 services are performant, scalable, reliable, and able to handle billions of ad events per day.
  • Optimize algorithms and infrastructure for speed, stability, and low-latency production inference.
  • Provide technical guidance, mentorship, code and model review, and best-practice leadership across teams.

Requirements

  • 10+ years of experience in software engineering or data science.
  • At least 3-5 years of experience in a principal engineer or lead ML role, preferably in AdTech/MarTech.
  • 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 data-intensive backend services and ML tools.
  • Hands-on experience with ML frameworks and libraries, especially PyTorch or TensorFlow.
  • Strong experience with big data and streaming frameworks such as Apache Spark, Kafka, and Hadoop.
  • Expertise with cloud platforms, preferably AWS, for scalable ML deployment and data storage.
  • Experience with both SQL and NoSQL databases, including 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 modern data lake and table formats such as 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 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 - $400,000 depending on location and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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