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Display Ads Jobs (NOW HIRING)

Senior Software Engineer, Ads

Cupertino, CA · On-site

$151K - $199K/yr

Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on ...

Senior Software Engineer, Ads

Cupertino, CA · On-site

$151K - $199K/yr

Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on ...

Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on ...

Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on ...

Senior Software Engineer, Ads

Cupertino, CA · On-site

$184.70 - $324.80/hr

Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on ...

Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship ...

Display Ads, Video Pre/Post Roll, Deals, Content Sponsorships, Native Advertising ● News Mobile App: Display Ads, Video Pre/Post Roll, Content Sponsorships, Native Advertising ● OTT/CTV App on ...

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Showing results 1-20

Display ADS information

What are display ads?

Display ads are a form of online advertising that appear on websites, apps, or social media platforms in the form of banners, images, videos, or interactive media. They are designed to attract the attention of users and promote products, services, or brands. Display ads can be targeted based on user demographics, interests, or browsing behavior, and are typically purchased through ad networks or programmatic platforms. They are a key component of digital marketing strategies and help increase brand visibility and drive traffic to websites.

What are the key skills and qualifications needed to thrive as a display ads specialist, and why are they important?

To thrive as a Display Ads Specialist, you need a solid understanding of digital marketing principles, audience targeting, and campaign analytics, often supported by a degree in marketing or related fields. Familiarity with tools like Google Ads, Facebook Ads Manager, and ad-tracking platforms, as well as certifications such as Google Ads Certification, are typically expected. Strong analytical thinking, creativity, and effective communication help deliver engaging campaigns and collaborate with clients or internal teams. These skills are crucial for optimizing ad performance, maximizing ROI, and achieving business objectives in a highly competitive digital landscape.

What are some common challenges faced by professionals working in display ads, and how can they be addressed?

Professionals in Display Ads often face challenges such as ad fatigue, banner blindness, and ensuring ads reach the right audience without overspending. Staying updated on targeting strategies and regularly refreshing creative assets can help combat these issues. Additionally, collaborating closely with analytics teams to monitor performance metrics allows for timely adjustments and optimization. Establishing clear communication with clients or stakeholders also ensures campaign goals stay aligned and expectations are managed effectively.

What is the difference between Display Ads vs Digital Marketing Specialist?

AspectDisplay AdsDigital Marketing Specialist
Required CredentialsBasic knowledge of advertising platforms, certifications like Google AdsBroader marketing certifications, analytics, content creation skills
Work EnvironmentAdvertising agencies, online marketing teamsMarketing departments, agencies, freelance
Industry UsagePrimarily in digital advertising campaignsAcross various digital channels including display, social, email
Search & Comparison IntentYesYes

Display Ads focus specifically on creating and managing online visual advertisements, while a Digital Marketing Specialist handles a broader range of digital marketing strategies, including social media, SEO, and content marketing. Understanding these differences helps employers and job seekers target the right skills and roles in the digital marketing industry.

More about Display ADS jobs

What states have the most Display Ads jobs?

States with the most job openings for Display Ads jobs include:

Infographic showing various Display Ads job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, 30% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Staff ML Software Engineering Manager, Google Display Ads

Mountain View, CA • On-site

Socket.dev
Network Security • 1 - 10 employees

$207 - $300/hr

Other

Posted 3 days ago

New


Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI‑related concepts (language modeling, computer vision).
  • 2 years of experience in a people management or team leadership role.
  • Experience in software engineering for recommendation systems or feed ranking architectures.
Preferred qualifications:
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex, matrixed organization.
About the job:

The Google Display Ads (GDA) Machine Learning (ML) team is at the forefront of revolutionizing digital advertising through cutting‑edge machine learning. We develop the core intelligence that powers Google’s display ads, building sophisticated models, signal representations, and systems for retrieval, ranking, and pricing. The work is the secret sauce behind optimized bidding and automation, directly impacting the open and free internet.

We leverage state‑of‑the‑art techniques, including the latest advancements in Large Language Models (LLMs) and generative retrieval, to train and deploy models at massive scale. Processing billions of training samples daily, utilizing hundreds of thousands of CPUs and TPUs, we tackle some of the most challenging optimization problems in the industry.

Join us to lead and collaborate with a passionate team of Machine Learning Engineers, Data Scientists, and Software Engineers, and partner with renowned research groups like Google DeepMind, Google Research, and Ads AI. Together, we create tangible value for users, publishers, advertisers, and Google, shaping the future of online advertising.

As a Staff Machine Learning Engineer and Tech Lead Manager in Google Display Ads, you will lead the team powering generative retrieval, and LLM‑driven content intelligence. You will define the technical goal and architect next‑generation retrieval and personalization systems operating at global scale across billions of daily impressions. In this role, you will directly manage and mentor a high‑impact engineering team while partnering with Google DeepMind and Google Research to shape the future of digital advertising.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Define Technical Goal and Retrieval Architecture: Set the long‑term roadmap and architect high‑performance model architectures, embeddings, generative retrieval, and systems at scale.
  • Drive AI Innovation: Pioneer the integration of cutting‑edge AI and LLMs to deliver step‑change improvements in relevance, model performance, and system efficiency.
  • Optimize Infrastructure and Compute: Lead training and serving optimization strategies, maximizing TPU/GPU cluster utilization with high‑performance production code (e.g., C++).
  • Manage and Mentor Engineers: Lead and grow a high‑performing team of ML and software engineers, providing technical guidance, driving execution, and elevating engineering excellence.
  • Collaborate Across Functions: Partner cross‑functionally with ML Research, Product Management, and Infrastructure teams to translate advanced concepts into impactful, production‑ready systems.
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