Principal AI/ML Engineer – AdTech

Zeta Global

Principal AI/ML Engineer developing scalable ML solutions for AdTech and leading AI-driven features in marketing platform. Collaborating with cross-functional teams, ensuring performance and reliability.

Posted 5/26/2026full-timeRemote • 🇺🇸 United StatesLead💰 $300,000 - $400,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSCassandraCloudDistributed SystemsDockerDynamoDBGoHadoopJavaKafkaKubernetesMySQLNoSQLPostgresPythonPyTorchRedisSparkSQLTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningprogramming languagesJavaGoPythonPyTorchTensorFlowbig data frameworksApache SparkKafka

Soft Skills

communication skillspresentation skillsinterpersonal skillsmentorshiptechnical guidance