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Principal AI/ML Engineer - AdTech

1 month ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
Apache Spark AWS Cassandra Docker DynamoDB Go Hadoop Java Kafka Kubernetes LLM Machine Learning Microservices MySQL PostgreSQL Python PyTorch Redis Serverless 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 57

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, techniques, and build-versus-buy decisions.
  • Develop AI agent and agentic workflow applications to automate and optimize campaign processes.
  • Use 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 are performant, scalable, reliable, and able to handle billions of ad events per day.
  • Optimize algorithms and infrastructure for speed, scalability, monitoring, uptime, and production model performance.
  • Provide technical guidance, mentorship, code review, and ML best-practice leadership to engineers and data scientists.

Requirements

  • 10+ years of experience in software engineering or data science, including 3-5 years 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 building data-intensive backend services and ML tools.
  • Hands-on experience with machine learning 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 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, such as ad copy generation, creative optimization, or personalization, preferred.
  • Experience designing agentic workflows for autonomous decision-making and real-time campaign optimization, preferred.
  • Experience with ML model serving and optimization for real-time inference, preferred.
  • Familiarity with Apache Iceberg and Apache Hudi for large-scale analytical datasets, preferred.
  • Knowledge of microservices architecture and event-driven design patterns, preferred.
  • Track record of open-source contributions or conference speaking in AI/ML, 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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