Ad Tech

Ad Tech Data Jobs

19 jobs found

Today

Data Engineer- Data Science Focus, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

Today

$111k - $185k/yr Full time Ad Tech Analytics Business Analytics

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Job Description

Based in Palo Alto, this on-site role focuses on data engineering with a data science lens to power Amazon Ads analytics. The compensation ranges from USD 111,400 to 185,000 per year, and the role expects at least 1 year of data engineering experience.

Benefits

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

Responsibilities

Analyze data trends across supply, optimization, ad load, and advertising mix to assess impact on advertiser performance and progress toward advertiser goals
Present analyses to senior leaders on how feature development affects identity recognition rates and how changes to ad selection systems influence fill rate, highlighting insights for business and engineering roadmaps
Formalize analytics around Ads auctions by examining bid spreads, auction depth, and modeling potential auction structure changes
Identify, standardize, and operationalize KPIs to measure performance across all ad serving systems and use trends to inform business priorities
Collaborate with engineering teams to define data logging requirements and place them on engineering roadmaps
Validate financial models through data analysis
Develop and own ad revenue and supply intelligence analytics decks for ongoing deep-dives

Requirements

1+ years of data engineering experience
Experience with SQL
Experience with data modeling, warehousing and building ETL pipelines

Technologies

SQL
Python
R
GitHub

Description

We are seeking an undergraduate who has explored AI during their academic journey and is ready to apply that mindset to Amazon Ads. This role invites you to contribute to the development and application of analytics methods that explore the complex data flows within Amazon Ads and translate deep-dives into actionable product insights. You will build new tools to analyze advertising data with the goal of improving performance.

A Day in the Life

The role involves close collaboration with business leaders and engineers to design a shared data architecture that optimizes data logging at multiple granular levels and enables interoperability from bid flow to optimization to campaign delivery. You will analyze the data and prepare papers and ongoing reports that surface actionable insights.

About the Team

The Ads Science Product Team partners with stakeholders who rely on product data to apply objective analysis and business logic, uncover actionable insights, inform strategic decisions, and adapt to industry changes.

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Today

Machine Learning Engineer

Amazon.com Services LLC New York, NY

New York, NY

Today

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

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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.

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8d ago

Senior Business Data Analyst - Ad Operations

Arity Remote 🌍 Remote

Remote

8d ago

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

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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

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8d ago

Machine Learning Engineer, Commerce Ads Ranking

TikTok San Jose, CA

San Jose, CA

8d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Distributed Training

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Job Description

Based in San Jose, CA (onsite), this TikTok role seeks a Machine Learning Engineer to optimize Commerce Ads Ranking models from recall through fine sorting and to advance large-scale distributed training in privacy-preserving environments, with a salary range of USD 156,000 – 316,800 per year.

Responsibilities

Improve ads delivery model performance through feature engineering, architecture choices, automated feature crossing, addressing ad cold start, modeling delayed feedback, and applying multi-task and sequence modeling techniques.
Contribute to algorithm and system co-design, including retrieval algorithms, sample mining strategies, and long sequence handling.
Investigate and optimize large-scale distributed training frameworks, focusing on GPU tuning, feature processing, and synchronous training to boost ads delivery efficiency under privacy-preserving constraints.
Advance next generation recommendation approaches using an LLM-based learning paradigm, covering entity understanding, end-to-end generative recommendation, sequence-only recommendation, and a Mixture of Export framework.

Requirements

Strong coding skills in C++ and Python, with a solid foundation in data structures and algorithms.
Robust background in machine learning and familiarity with models such as FM, LR, GBDT, DNN, and Wide & Deep.
Excellent learning ability and collaborative mindset, with strong analytical and problem-solving skills. Publications in KDD, NeurIPS, SIGIR, or experience in data mining or ML competitions are a plus.
Bachelor's degree or higher in computer science or related fields.

Technologies

C++, Python, LLM

Benefits

Medical, dental, and vision insurance from day one
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 hire with tenure-based accruals
Eligible for discretionary bonuses or incentives
Restricted stock units

Los Angeles County (Unincorporated) Candidates

Occasional unsupervised interaction with internal or external clients and colleagues
Appropriate handling and management of confidential information and access to IT systems
Exercise sound judgment

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9d ago

Machine Learning Engineer, Ads Creative

TikTok San Jose, CA

San Jose, CA

9d ago

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

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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

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16d ago

Machine Learning Engineer - Search Ads

TikTok San Jose, CA

San Jose, CA

16d ago

$156k - $317k/yr Full time Ad Tech Analytics Artificial Intelligence

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Job Description

Onsite machine learning engineer role in San Jose, CA on TikTok's Search Ads team, delivering large-scale ads systems with NLP, ranking, and optimization across the TikTok app ecosystem.

Responsibilities

Contribute to the development of a large-scale Ads system.
Own relevance modeling and strategy optimization, including semantic matching, active learning, multimodal (text, photo, video) modeling, and ranking approaches.
Develop and iteratively improve Ads algorithms using machine learning techniques.
Advance NLP capabilities and query understanding, covering query classification, seq2seq models, named entity recognition, knowledge graphs, and bidword optimization.
Improve CTR and CVR estimation accuracy through data analysis, modeling, and feature engineering.
Research and implement Ads pacing and traffic-control algorithms.
Collaborate with product managers and strategy/operations teams to define product direction and feature sets.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related field.
Strong programming, debugging, and optimization skills in general-purpose programming languages.
Ability to think critically and articulate solutions clearly and concisely.

Technologies

Go
C/C++
Python

Benefits

Base salary range: 156,000 - 316,800 USD per year
Potential discretionary bonuses or incentives
Restricted stock units
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

For Los Angeles County (Unincorporated) Candidates

Interacting with internal or external clients and colleagues, including unsupervised contact as needed
Appropriately handling and safeguarding confidential information, including proprietary and trade secrets, and access to information systems
Exercising sound judgment in relevant scenarios

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20d ago

Data Engineer, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC New York, NY

New York, NY

20d ago

$111k - $185k/yr Full time Ad Tech Analytics Big Data

Apply Now

Job Description

This entry-level Data Engineer role within the Ads Science Analysis & Tech (ASAT) group at Amazon Ads is based onsite in New York, NY. The position targets recent undergraduates and emphasizes developing analytics methods, analyzing complex data flows, and translating insights into actionable recommendations for bidding, targeting, relevance, and feature releases. The role offers a salary range of USD 111,400 to 185,000 per year. A bachelor’s degree is required, with a minimum of one year of data engineering experience.

Responsibilities

Assess data trends related to supply, optimization, ad load, and advertising mix to understand effects on advertiser performance and support advertiser goals.
Deliver research papers to senior leaders on topics such as how feature development influences identity recognition rates and how changes to ad selection systems affect fill rate, highlighting insights to guide business development and engineering roadmaps.
Define and standardize analytics for Ads auctions by examining bid spreads, auction depth, and simulating the impact of potential auction structure changes.
Identify, standardize, and operationalize KPIs to measure performance across ad serving systems, using trend insights to steer business priorities.
Collaborate with engineering teams to define data logging requirements and secure priority placement in engineering roadmaps.
Validate financial models through analysis.
Develop and manage ad revenue and supply intelligence analytics decks delivering ongoing in-depth analyses.

Requirements

At least one year of data engineering experience.
Proficiency with SQL.
Experience in data modeling, data warehousing, and building ETL pipelines.
Bachelor's degree required.
Experience using AI to automate tasks and building projects with GitHub and other sources to showcase work.

Technologies

SQL
GitHub

Benefits

Sign-on incentives
Restricted stock units (RSUs)
Comprehensive health coverage (medical, dental, vision, prescription)
Basic life and AD&D insurance
Optional supplemental life insurance plans
Employee Assistance Program (EAP)
Mental health support services
Medical advice line
Flexible Spending Accounts (FSAs)
Adoption and surrogacy reimbursement
401(k) with employer matching
Paid time off
Parental leave

A Day in the Life

The Data Engineer collaborates with business leaders and engineers to design a unified data architecture that optimizes data logging across multiple granularities, enabling interoperability from bid flow through optimization to campaign delivery. The role includes analyzing the data and preparing papers and ongoing reports that translate insights into actionable recommendations.

About the Team

The Ads Science Product Team aims to work with stakeholders who require product data, applying objective analysis and business logic to reveal insights, advise strategic decisions, and adapt to evolving industry conditions.