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Adtech Engineer Jobs (NOW HIRING)

Adtech seeks a motivated, career and customer-oriented SME Machine Learning Ops Engineer . This is currently a hybrid position with two days onsite in Ashburn, VA and three days remote. In this role ...

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Senior Product Manager, AdTech

Manhattan, NY · On-site +1

$175K - $200K/yr

At Cognitiv, we are not just another AdTech company--we are industry trailblazers redefining media ... You'll work closely with Business Development, Partnerships, Agencies, and Engineering to translate ...

... AdTech company that successfully launched its IPO in 2019 and owns multiple industry-leading ... A technical (engineering, math, science) degree is a big plus. * Hablar español suma puntos! WHAT ...

... AdTech company that successfully launched its IPO in 2019 and owns multiple industry-leading ... A technical (engineering, math, science) degree is a big plus. * Hablar espanol suma puntos! WHAT ...

Software Engineer II

Atlanta, GA · On-site +1

$93K - $128K/yr

About the Role The AdTech Engineering team owns the systems at the heart of Mediavine's business - the web wrapper that runs on every publisher site, our server-to-server (s2s) ad exchange, header ...

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Software Engineer II

Atlanta, GA · Remote

$99K - $136K/yr

About the Role The AdTech Engineering team owns the systems at the heart of Mediavine's business -- the web wrapper that runs on every publisher site, our server-to-server (s2s) ad exchange, header ...

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Adtech Engineer information

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$31K

$95.8K

$127.5K

How much do adtech engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for adtech engineer in the United States is $95,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $116,000.00 per year, depending on experience, location, and employer.

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 is the highest paid tech job?

In the tech industry, roles such as Chief Technology Officer (CTO), solutions architect, and AI research scientist tend to be among the highest paid. These positions often require advanced skills, leadership experience, and sometimes specialized certifications, with salaries reaching into the high six or seven figures for top executives and experts.

What engineers make 100K a year?

Adtech engineers, who develop and optimize digital advertising technologies, can earn $100,000 or more annually, especially with experience, specialized skills in data analysis, programmatic advertising, and proficiency with tools like Java, Python, or SQL. Salaries vary based on location, company size, and individual expertise, with senior roles and those in high-demand markets often exceeding this threshold.

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 do AdTech companies do?

An Adtech Engineer works in advertising technology companies that develop and manage digital advertising platforms, tools, and data systems. They focus on building software for ad targeting, real-time bidding, and analytics to optimize ad campaigns across digital channels. Skills in programming, data analysis, and familiarity with ad platforms like DSPs and SSPs are essential.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology and finance sectors.

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.
More about Adtech Engineer jobs
What cities are hiring for Adtech Engineer jobs? Cities with the most Adtech Engineer job openings:
What states have the most Adtech Engineer jobs? States with the most job openings for Adtech Engineer jobs include:
Infographic showing various Adtech Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, 9% Hybrid, and 27% Remote job distribution, with an average salary of $95,796 per year, or $46.1 per hour.

Senior Machine Learning Engineer, AdTech

Nexxen

Washington, DC • On-site, Remote

$180K - $220K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Sr. Machine Learning Engineer

Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core.

With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible, and unified solutions. Employees hustle, commit, and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.

At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed.

The Sr. Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementations for either machine learning technologies or data-driven algorithms. If you are proactive and innovative in these domains, this is a phenomenal role for you!

This role can be based in our local office locations. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest, or is open to remote work for anyone with senior hands-on adtech vendor experience.

What You'll Do:

  • Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product
  • Drive ground-breaking innovation and apply state-of-the-art AI and machine learning in a variety of areas to enhance a real-time ad scoring and ranking system for bid optimization
  • Invent and iterate novel solutions for complex ad challenges with fast turnaround.
  • Lead the ad algorithm architecture design and iteration of the advertising system.
  • Develop scalable and efficient approaches for large-scale data analysis and model development.
  • Build and experiment with new algorithms and models end-to-end, from production rollout to continuous optimization.
  • Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment.
  • Help troubleshoot production and customer issues.
  • Follow agile methodologies and work in a fast-paced environment where one can quickly see the results of the work being performed.

What You'll Bring:

  • Bachelor's in Computer Science or a related field of study
  • 5+ years of engineering experience working at a leading AdTech Vendor Company
  • A history of successfully taking ownership of features/functionality and delivering end-to-end project
  • Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics.
  • Expertise in Java, Python, and Scala.
  • In-depth knowledge of data structures and algorithms.
  • Practical experience working with large NoSQL databases like Aerospike and Cassandra.
  • Interest in ad campaign optimization and iterative model updates.
  • Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch).
  • Expertise working with data processing tech stack (Spark, MapReduce).
  • Expertise in building data-driven services and applications (ETL).
  • Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders.
  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
  • Strong communication skills with an ability to communicate complex concepts to non-technical stakeholders.

Desired Qualifications:

  • MS or PhD in computer science or equivalent experience.
  • Experience within AdTech industry.
  • Experience in LLM and GenAI.

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role in New York is $180,000 - $220,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.