Principal AI/ML Engineer - AdTech
Zeta GlobalBase Salary
$300k - $400k/yr
Responsibilities
- Lead the design and implementation of scalable, performant, and resilient ML solutions for AdTech use cases.
- Define technical direction for integrating AI/ML into the Demand-Side Platform and broader advertising technology stack.
- Architect end-to-end ML pipelines covering data ingestion, training, real-time inference, bidding, targeting, and optimization.
- Develop LLM-powered and agentic systems for campaign automation, audience segmentation, bid adjustment, and creative asset generation.
- Define the AI/ML technical roadmap and evaluate emerging tools, techniques, and build-versus-buy decisions.
- Collaborate with engineering, product, and data science teams to translate marketing objectives into ML-driven products.
- Optimize ML algorithms and infrastructure for low latency, high concurrency, throughput, scalability, and reliability.
- Implement monitoring and operational practices to maintain model performance and uptime in production.
- Mentor engineers and data scientists, review code and models, and promote ML and engineering best practices.
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 or MarTech.
- Experience designing and building high-throughput, low-latency distributed systems or large-scale data pipelines.
- Deep knowledge of programmatic advertising, including DSPs, RTB, SSPs, and ad exchanges.
- Proficiency in Java, Go, and Python.
- Hands-on experience with PyTorch or TensorFlow.
- Strong experience with Apache Spark, Kafka, or Hadoop.
- Expertise with cloud platforms, preferably AWS, and scalable ML deployment and data storage services.
- Experience with SQL and NoSQL data stores, including MySQL, PostgreSQL, Cassandra, DynamoDB, or Redis.
- Familiarity with Docker and Kubernetes.
- Excellent communication, presentation, and interpersonal skills.
- Experience with LLMs and generative AI for advertising is preferred.
- Experience designing agentic workflows for autonomous marketing campaign decisions is preferred.
- Experience with model serving and optimization for latency-critical real-time inference is preferred.
- Familiarity with Apache Iceberg or Apache Hudi is preferred.
- Knowledge of microservices architecture and event-driven design patterns is preferred.
- Open-source contributions or industry conference speaking experience is preferred.
Benefits
- Unlimited PTO
- Medical, dental, and vision coverage
- Employee equity
- Employee discounts
- Virtual wellness classes
- Pet insurance
Tech Stack
Categories
About Zeta Global
At Zeta Global (NYSE: ZETA), we help enterprise brands and agencies Achieve the Impossible™ with superintelligent marketing. Powered by proprietary AI and trillions of real-time signals, the Zeta Marketing Platform (ZMP) brings martech and adtech together – unifying identity, intelligence, and activation in one unified place. We enable marketers to deliver personalized experiences that drive measurable growth in the next era of marketing. At the center of this evolution is Athena by Zeta, our superintelligent conversational agent built for predictable, profitable growth. Seamlessly integrated into the ZMP, Athena helps marketers understand performance, identify opportunities, and take action in real time—surfacing insights on spend, audiences, and campaigns, recommending next best moves, and even launching and optimizing campaigns on their behalf. Behind our platform is a global team of 3,000+ employees driven by innovation, collaboration, and a shared focus on customer success. Founded in 2007 by David A. Steinberg and John Sculley, Zeta is headquartered in New York City. Learn more at www.zetaglobal.com