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Ads Model Jobs (NOW HIRING)

Instacart

Senior Product Manager, Ads Quality

OR · On-site +1

$126K - $166K/yr

Work hands-on with machine learning engineers and ads engineers to translate complex ML model outputs and auction dynamics into clear product requirements, hypotheses, and measurable outcomes.

Meta

Data Scientist, Analytics (Ranking, AI)

$177K/yr

We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques ...

Reddit

Engineering Manager, Ads ML Efficiency

About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this ...

Chewy

Director, Finance - Ads

Bellevue, WA

Chewy Ads) as well as the Search and Discovery teams. This is a highly visible role responsible for ... Candidates must bring strong analytical and financial modeling leadership in a big data environment ...

Reddit

Senior Data Scientist, Ads

About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize ... Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition

Reddit

Senior Data Scientist, Ads Integrity

Build and maintain statistical, machine learning, and GenAI-enabled models or prototypes that ... Partner across Ads and Safety to shape strategy and roadmaps, strengthen data foundations, close ...

Reddit

Senior Data Scientist, Ads Integrity

Build and maintain statistical, machine learning, and GenAI-enabled models or prototypes that ... Partner across Ads and Safety to shape strategy and roadmaps, strengthen data foundations, close ...

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How much do ads model jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ads model in the United States is $45.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $72.12 per hour, depending on experience, location, and employer.

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Data Scientist, Analytics (Ranking, AI)

Sunnyvale, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$177K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Work with large and complex data sets to solve challenging problems using analytical and statistical approaches

  • Apply technical expertise with quantitative analysis, experimentation, data mining, and data presentation to develop strategies for products

  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring key product metrics

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-the-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on aggressive revenue targets in a predictable fashion.As a Data Scientist at Meta, you will collaborate on a wide array of product and business problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure that the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Analytics (Ranking, AI) Responsibilities:
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Master's or Ph.D. Degree in a quantitative field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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