Principal AI/ML Engineer - AdTech
New
Z
Zeta GlobalAdTech / Marketing
Remote - United StatesFull-TimePrincipal
Salary$300,000 - $400,000
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonJavaKafkaMachine LearningPyTorchGoSparkTensorflow
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.
- 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 programming languages such as Java, Go, and Python.
- 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 model deployment and data storage.
- Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, Cassandra, DynamoDB, Redis).
- Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
- Excellent communication, presentation, and interpersonal skills.
Responsibilities
- 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 for real-time bidding, targeting, and optimization algorithms.
- Define the technical roadmap and vision for AI/ML in the platform, including 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 deliver ML-driven features and translate marketing objectives into solutions.
- Ensure system robustness, stability, and performance for ML services in a high-concurrency, low-latency environment.
- Provide technical guidance and mentorship to engineers and data scientists to foster a culture of engineering excellence.
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