Principal AI/ML Engineer – AdTech

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October 29

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Zeta Global

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SaaS • Artificial Intelligence • B2B

Zeta Global is an AI-powered marketing cloud that leverages proprietary AI and trillions of consumer signals to acquire, grow, and retain customers more efficiently. The Zeta Marketing Platform (ZMP) offers a comprehensive suite of tools, including data management, customer data platforms (CDP), email service providers (ESP), and digital signal processing (DSP), to create individualized customer experiences and improve marketing outcomes. Zeta emphasizes omnichannel marketing, customer intelligence, and data-driven marketing strategies, partnering with brands, agencies, and publishers worldwide to accelerate brand growth and engagement. Their platform is designed to tackle complex marketing challenges with solutions for customer acquisition, growth, and retention through predictive AI and actionable consumer data.

1001 - 5000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 Post-IPO Debt on 2024-09

📋 Description

• 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

• 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

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