Paid Advertising

Paid Advertising Data Jobs

9 jobs found

1d ago

Machine Learning Engineer

Amazon.com Services LLC New York, NY

New York, NY

1d ago

$158k - $214k/yr Full time Ad Tech Amazon Ads AWS

Apply Now

Job Description

Machine Learning Engineer at Amazon Ads based in New York, NY (onsite), responsible for building and deploying near-real-time ML systems for ad relevance, spanning data ingestion pipelines, feature generation, and real-time inference at scale.

Responsibilities

Design, build, and operate near-real-time data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB to process shopper behavioral signals at scale (100K+ TPS, sub-second latency).
Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals consumed by prediction models across Amazon Ads.
Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability.
Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization.
Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive implementation end-to-end with guidance from senior engineers.

Requirements

2+ years of non-internship professional software development experience.
Experience programming with at least one software programming language.
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Experience in machine learning, data mining, information retrieval, statistics or natural language processing.

Technologies

Apache Flink
Kinesis
DynamoDB

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

A Day in the Life

Highly analytical: you solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making.
Humbitious: ambitious yet humble; you use introspection and feedback to continually raise the bar.
Engaged by ambiguity: you explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them.

View full job page →

9d ago

Senior Business Data Analyst - Ad Operations

Arity Remote 🌍 Remote

Remote

9d ago

$75k - $126k/yr Full time Marketing Ad Tech Analyst

Apply Now

Job Description

Senior Data Analyst for ad operations at Arity focuses on monitoring and optimizing programmatic campaigns, collaborating with AdOps, Product, and Data Science, and designing A/B tests to enable ML driven automation.

Responsibilities

Oversee programmatic campaigns by leveraging real-time and historical data signals to optimize performance.
Identify performance bottlenecks across supply, demand, and delivery components and propose targeted interventions.
Design and evaluate A/B and multivariate tests, incorporating sensor-based features into testing frameworks.
Collaborate with AdOps, Product, and Data Science to scale optimization strategies across the organization.
Contribute to automated decisioning systems for campaign management, including budget allocation and bidding adjustments.
Partner with data scientists to translate business problems into ML driven solutions such as propensity models, bidding optimization, and segmentation.
Lead the shift from manual campaign management to automated, intelligence driven optimization.

Requirements

Bachelor’s degree required.
4+ years of experience in data analysis, campaign optimization, or programmatic advertising.
Strong proficiency in SQL and Python for large-scale data analysis.
Solid understanding of the programmatic advertising ecosystem and KPIs such as CPM, CPC, win rate, CPA, and ROAS.
Experience designing and analyzing experiments, including A/B testing and causal inference methods.
Strong problem-solving and analytical thinking skills with a focus on measurable outcomes.
Ability to communicate insights effectively to both technical and non-technical stakeholders.
Location: Remote.

Technologies

Python
SQL
BigQuery

Benefits

Laptop, monitors, headset, keyboard, and mouse provided
Monthly connectivity reimbursement for home internet costs
Flexible environment that embraces connection and belonging

Skills

Data Analytics
Digital Advertising
Programmatic Advertising
Python (Programming Language)
SQL (Structured Query Language)

Compensation

USD 75,100 - 126,325 per year

View full job page →

10d ago

Machine Learning Engineer, Ads Creative

TikTok San Jose, CA

San Jose, CA

10d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Deep Learning

Apply Now

Job Description

TikTok is hiring a Machine Learning Engineer, Ads Creative to build large scale ads systems and advanced ML components for monetization, targeting, and creative optimization.

Responsibilities

Contribute to the development of a large scale ads platform.
Lead the development of state of the art applied machine learning projects within ads.
Own critical targeting components and strategies in the ads monetization ecosystem.
Collaborate with product and business teams to shape product vision and roadmap.

Requirements

BS or MS degree in Computer Science, Computer Engineering, or related fields.
Strong theoretical grounding in machine learning with practical experience in ML concepts and techniques.
Excellent programming, debugging, and optimization skills in Go, C/C++, Python or similar languages.
Experience with ML frameworks such as TensorFlow, PyTorch, MXNet, or equivalent.
Ability to think critically and articulate solutions clearly and concisely.

Technologies

Go
C
C++
Python
TensorFlow
PyTorch
MXNet

Compensation

Base salary range: $156,000 - $316,800 annually.
Pay transparency description: The base salary range for this position in the selected city is $156000 - $316800 annually.

Location

San Jose, CA (onsite)

Employment Type

Regular

Job Code

A56375

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Potential discretionary bonuses/incentives
Restricted stock units

Los Angeles County Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound

View full job page →

10d ago

Jr. Web Marketing Specialist - Analytics Track

WebFX Harrisburg, PA

Harrisburg, PA

10d ago

$47k - $50k/yr Full time Marketing Analytics Campaign Management

Apply Now

Job Description

WebFX, an established digital marketing agency in Harrisburg, is seeking an entry-level Jr. Web Marketing Specialist within the Analytics Track. This fully on-site role emphasizes planning and executing data-informed marketing campaigns while analyzing performance metrics, supported by structured training and clear opportunities for career growth in a collaborative, in-office environment.

Responsibilities

Develop and implement data-driven SEO strategies and optimizations for client sites
Build and manage PPC campaigns on Google Ads to drive positive results for clients
Plan content strategy and create outlines to guide copywriters
Coordinate CRO projects and recommend best practices for client websites
Design and execute email marketing campaigns
Perform light backend edits on client websites to fix issues and implement content updates
Analyze campaign performance using Google Analytics and RevenueCloudFX and prepare monthly reports
Interpret web analytics, demographic data, market research, and buyer behavior to adjust strategies
Conduct industry research such as competitor and keyword analyses
Run A/B tests, usability assessments, and conversion rate experiments to determine effective approaches and provide recommendations
Collaborate with senior digital marketers on large client campaigns and accounts
Occasionally participate in client meetings to report on strategy and results alongside senior team members

Requirements

Bachelor's Degree
GPA 3.4 or above

Technologies

Excel/Google Suite
Google Analytics
Basic HTML
RevenueCloudFX
Google Ads

Benefits

Comprehensive, on-the-job training and ongoing career development
Initial career kickstart training to build foundational hard skills in the first months
Ongoing advanced training sessions from industry experts as you progress
Regular team Lunch-and-Learns conducted on-site
Career growth and upward progression paths
All Jr-level roles serve as the entry point on a structured promotional path within WebFX
Merit-based promotions for teammates who meet or exceed performance metrics
Regular one-on-one check-ins with a manager to support career development
Potential promotional path for this Analytics Track role includes: Digital Marketing Specialist, Digital Marketing Analyst, Digital Marketing Consultant, Lead Internet Marketing Consultant, Sr. Internet Marketing Consultant
In-person collaboration with a team of industry experts
The position is fully in-office at the Harrisburg riverside campus, with potential evolution as tenure progresses

Compensation

$47,000–$50,000 per year, with potential for higher based on work experience

View full job page →

1mo ago

Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

1mo ago Closed

$193k - $262k/yr Full time Ai Ml Amazon Ads Artificial Intelligence

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Senior Machine Learning Engineer role focused on real-time ML serving for Sponsored Products and Brands Relevance. This onsite position in Palo Alto, CA offers a salary range of USD 193,300 to 261,500 per year. You will shape technical direction, mentor engineers, and advance ad relevance using deep learning, NLP / large language models, and distributed systems at Amazon scale.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Responsibilities

Set and guide the technical roadmap for ML initiatives spanning deep learning, AWS infrastructure, AutoML, and real-time serving systems
Architect, build, and own scalable offline ML pipelines and online serving components capable of billions of requests daily with millisecond latency
Collaborate with applied scientists to optimize model performance, enhance ML productivity, and strengthen the platform that powers scientific innovation
Troubleshoot and support high-volume, low-latency distributed systems; own the systems you build
Mentor junior engineers to deliver high-impact products and services for Amazon customers and sellers
Make informed technology choices that balance innovation velocity with operational excellence and business needs

Requirements

8+ years of non-internship professional software development experience
10+ years of programming with at least one software programming language
5+ years of leading design or architecture focused on patterns, reliability, and scaling for new and existing systems
Experience as a mentor, tech lead, or leading an engineering team
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
5+ years building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search experiences
Proven ability to drive technical decisions across teams and deliver end-to-end from design to production deployment

Technologies

PyTorch
TensorFlow
SageMaker
Triton
vLLM
Spark
AutoML
AWS

View full job page →

1mo ago

Social Media and Marketing Coordinator and Google Analytics

JW Truck Sales, Inc Flowery Branch, GA

Flowery Branch, GA

1mo ago Closed

$18 - $24/hr Full time Marketing Analytics Brand Management

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

JW Truck Sales, Inc is seeking a dynamic Social Media and Marketing Coordinator with Google Analytics expertise to craft digital narratives, manage social media campaigns, analyze performance, and optimize marketing strategies.

Responsibilities

Plan and execute engaging social media campaigns across Facebook, Instagram, Twitter, LinkedIn, and other networks to elevate brand visibility and audience engagement.
Coordinate daily publishing calendars with tools such as Hootsuite or Buffer to maintain consistent messaging aligned with the brand voice.
Produce compelling visuals and copy, including graphics, videos, photography, and written posts, using Adobe Photoshop, Illustrator, and Creative Suite.
Perform social listening to track brand mentions, industry trends, and competitor activity to guide content planning and reputation management.
Run targeted Facebook ad campaigns aimed at defined audiences to drive traffic and conversions.
Analyze site traffic and campaign performance with Google Analytics and other analytics tools; deliver reports highlighting insights and recommended actions.
Work with the PR team to develop press materials, manage media relationships, and support brand initiatives.
Support ecommerce by aligning social campaigns with online sales channels and measuring ROI.
Proofread content for accuracy, clarity, and brand consistency prior to publication to maintain high-quality standards.

Requirements

Proven track record in social media management, digital marketing, and content creation with solid understanding of platform algorithms.
Knowledge of SEO techniques to boost online visibility through keyword research and optimized content strategies.
Proficient in graphic design with Photoshop, Illustrator, and Creative Suite; basic video editing is a plus.
Experience with social listening tools like Hootsuite or Buffer to monitor brand reputation and industry trends.
Experience with Facebook Advertising to create targeted campaigns that maximize engagement.
Strong analytical abilities with Google Analytics experience to interpret data trends and assess campaign performance.
Excellent proofreading to ensure polished, accurate content aligned with brand standards.
Ability to manage multiple projects concurrently with attention to detail in a fast-paced setting.
Strong relationship management skills for cross-functional collaboration with PR, sales, and creative teams.

Technologies

Facebook
Instagram
Twitter
LinkedIn
Hootsuite
Buffer
Google Analytics
Adobe Photoshop
Adobe Illustrator
Adobe Creative Suite
Facebook Advertising Platform

Benefits

Health insurance
Paid time off

Pay

$18.00 - $24.00 per hour

Expected Hours

40 hours per week

Work Location

In person — Flowery Branch, GA (onsite)

View full job page →

1mo ago

Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2026 Start (BS/MS)

TikTok San Jose, CA

San Jose, CA

1mo ago Closed

$123k - $256k/yr Full time Ad Tech Deep Learning Graduate

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

TikTok is inviting a junior to mid level machine learning engineer track to join its Commerce and Content Service plus Search Ads teams in San Jose. This on-site role focuses on building large-scale ads systems and applying machine learning within monetization product and technology groups, with a 2026 start and onboarding by year-end. The position offers a compensation range of USD 122,574 to 256,000 per year and is based in San Jose, CA.

Responsibilities

Contribute to the development of a large-scale Ads system.
Deliver state-of-the-art applied machine learning projects.
Own key targeting components or strategies within the TikTok ads monetization ecosystem.
Collaborate with product and business teams to shape and align on the product vision.

Requirements

Candidate or soon-to-be graduate with a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Solid theoretical grounding in machine learning concepts and techniques with practical experience.
Excellent programming, debugging, and optimization skills in one or more general purpose languages, including Go, C/C++, and Python.
Experience with frameworks such as TensorFlow, PyTorch, or MXNet.
Ability to think critically and articulate solutions in a clear, concise manner.

Technologies

TensorFlow
PyTorch
MXNet
Go
C/C++
Python

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at start with accruals increasing over tenure

View full job page →

2mo ago

Growth Marketing Specialist (Paid Media, Social & Analytics)

JUMO Process Control, Inc. East Syracuse, NY

East Syracuse, NY

2mo ago Closed

$26 - $30/hr Full time Marketing Ads Analytics

2mo ago

Marketing Analytics Lead – Mobility Advertisers

Safebox LLC New York, NY

New York, NY

2mo ago Closed

$120 - $135/hr Full time Marketing Analytics Cross-Functional

Paid Advertising Data Jobs

Get Paid Advertising Data Jobs alerts