ZipRecruiter

Log In

1

Adtech Engineer Jobs in California (NOW HIRING)

Okaya Inc

Sr. Media Consultant (AdTech)

Los Angeles, CA · On-site

$150K - $160K/yr

... engineering and revenue and to manage a multi-million dollar portfolio of advertising transformation engagements Communication Exceptional storytelling skills the ability to simplify complex AdTech ...

Cascadia Search

Data Engineer

Los Angeles, CA

$123K - $148K/yr

You'll lead data engineering initiatives, ensure governance and compliance, optimize performance ... Architect and implement data integration frameworks across Adtech and Martech ecosystems ...

Launch Potato

Lead Data Scientist, AdTech

Los Angeles, CA · Hybrid

$175K - $200K/yr

Leans on ML engineering for the last mile rather than working solo * Coachable: Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery discipline NICE TO HAVES

next page

Showing results 1-20

All JobsAdtech Engineer JobsAdtech Engineer Jobs in California

Adtech Engineer information

What is the difference between Adtech Engineer vs Data Engineer?

AspectAdtech EngineerData Engineer
CredentialsBachelor's in Computer Science, relevant certifications in ad tech or digital marketingBachelor's in Computer Science, certifications in data management or cloud platforms
Work EnvironmentDigital advertising agencies, ad tech companies, marketing teamsData-driven companies, tech firms, analytics teams
Industry UsageUsed in digital advertising, programmatic ad platforms, marketing techUsed in data infrastructure, big data processing, analytics pipelines

Adtech Engineers focus on developing and maintaining advertising technology platforms, while Data Engineers build and manage data pipelines and infrastructure. Both roles require technical skills but serve different functions within digital marketing and data management environments.

What are some common challenges an Adtech Engineer faces when integrating new advertising technologies with existing platforms?

Adtech Engineers often encounter challenges when integrating new advertising technologies, such as ensuring compatibility with legacy systems, maintaining data privacy compliance, and minimizing disruption to current ad delivery pipelines. Balancing rapid implementation with thorough testing can be complex, especially given the fast-paced evolution of ad tech standards and third-party tools. Successful engineers proactively collaborate with product managers, data teams, and external vendors to troubleshoot issues and develop scalable solutions that support the organization's advertising objectives.

What are Adtech Engineers?

Adtech Engineers are technology professionals who design, develop, and maintain software systems used in the digital advertising industry. They work on platforms that enable the buying, selling, targeting, and analysis of online ads, such as ad servers, real-time bidding systems, and data management platforms. Their role often involves integrating advertising technologies, optimizing ad delivery, and ensuring compliance with privacy regulations. Adtech Engineers collaborate with product managers, data scientists, and marketers to deliver effective advertising solutions.

What are the key skills and qualifications needed to thrive as an Adtech Engineer, and why are they important?

To thrive as an Adtech Engineer, you need a solid background in computer science, programming (especially JavaScript, Python, or Java), and a clear understanding of digital advertising technologies and protocols. Familiarity with ad servers, programmatic platforms (like Google Ad Manager or The Trade Desk), SDKs, APIs, and industry certifications such as IAB Digital Ad Operations are highly valued. Strong problem-solving, communication, and collaboration skills help you navigate complex integrations and work effectively with product, sales, and analytics teams. These skills are essential to optimize ad delivery, ensure technical compliance, and drive successful advertising outcomes in a rapidly evolving ecosystem.
What are popular job titles related to Adtech Engineer jobs in California? For Adtech Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Adtech Engineer jobs in California look for? The top searched job categories for Adtech Engineer jobs in California are:
What cities in California are hiring for Adtech Engineer jobs? Cities in California with the most Adtech Engineer job openings:
Adtech Engineer jobs near you
Principal AI/ML Engineer - AdTech

Principal AI/ML Engineer - AdTech

Zeta Global

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago

Job description

WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
Role Description
As a Principal AI/ML Engineer in our AdTech team, you will be a key individual contributor driving the development of advanced machine learning models and AI-driven features for our advertising platform. You will design, build, and deploy ML solutions for campaign optimization, user personalization, and creative content generation, operating at large scale and low latency to handle billions of ad events per day. This role requires deep expertise in machine learning techniques and the programmatic advertising ecosystem (e.g., real-time bidding and digital marketing data). You will work closely with engineering, product, and data science teams to ensure our ML systems are highly performant, scalable, and reliable. You will also spearhead innovation by leveraging large language models (LLMs) and intelligent agent architectures to create new capabilities that automate and enhance advertising campaigns.
Key Responsibilities
  • Machine Learning Leadership: Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases. You will set technical direction for integrating AI/ML into our Demand-Side Platform and broader ad tech stack.
  • ML System Design: 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. Ensure that models seamlessly integrate with our ad serving architecture and handle low-latency, high-throughput requirements.
  • Technical Strategy: 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. Continuously assess emerging technologies to keep our AdTech capabilities on the cutting edge.
  • AI & Agentic Applications: Develop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes. Leverage LLMs and generative AI to enable autonomous campaign management tasks such as audience segmentation, dynamic bid adjustments, and creative asset generation.
  • Cross-Functional Collaboration: Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions. Work closely with stakeholders to deliver innovative features - including those powered by Large Language Models (LLMs), that enhance our advertising products.
  • Performance & Reliability: Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment. Optimize algorithms and infrastructure for speed and scalability, and implement monitoring to maintain model performance and uptime in production.
  • Mentorship & Best Practices: Provide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices. Review code and models, share knowledge, and champion continuous improvement across teams.

Required Qualifications
  • 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.

Preferred Qualifications
  • Experience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messaging.
  • Experience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaigns.
  • Experience with machine learning model serving and optimization for real-time inference applications (latency-critical environments).
  • Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
  • Knowledge of microservices architecture and event-driven design patterns in distributed systems.
  • A track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/ML.

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

SALARY RANGE
The salary range for this role is $300,000 - $400,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
#LI-DD1

Apply