Zeta Global

We deliver better experiences for consumers and better results for your brand.

Principal AI/ML Engineer – AdTech

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

138 days ago

Salary

$300K - $400K / year

10 yrs expEnglishApacheAWSCassandraCloudDistributed SystemsDockerDynamo DBHadoopJavaKafkaKubernetesMy SQLNo SQLPostgresPythonPy TorchRedisSparkSQLTensorflowGo

Job 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.

Job 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!!

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