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Amazon Ads Engineer Jobs

3 jobs found

5d ago

Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance

Amazon.com Services LLC New York, NY

New York, NY

5d ago

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

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Job Description

Amazon's Sponsored Products Off-Search Sourcing and Relevance group is advancing machine learning-driven ad experiences that reach customers beyond traditional search surfaces. In this role, you will shape the models and infrastructure that deliver relevant, personalized ads at scale, partnering with product managers and researchers and running rapid experiments to quantify impact.

Location: New York, NY (onsite)

Salary: USD 158,100 - 213,800 per year

Minimum experience: 3+ years

Responsibilities

Design, build, and maintain ML infrastructure and data processing pipelines that power ad relevance and sourcing at massive scale
Develop and refine ML models that leverage deep product and shopper signals to surface relevant ads across non-Search surfaces
Architect and implement ad serving systems that handle real-world use cases with high throughput, low latency, and strong availability
Integrate ML solutions with large-scale distributed systems for click-through rate prediction and ad auctions
Measure impact through rapid A/B experiments, iterating to improve relevance and performance
Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML-driven solutions

Requirements

3+ years of professional software development experience (non-internship)
2+ years of design or architecture experience focusing on design patterns, reliability, and scaling of new or existing systems
Experience programming in at least one software language

Benefits

Comprehensive health coverage including medical, dental, vision, and prescription drugs, Basic Life & AD&D with option for supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement
401(k) matching
Paid time off
Parental leave

About the Team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry-leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of reinventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis.

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14d ago

Machine Learning Engineer

Amazon.com Services LLC New York, NY

New York, NY

14d ago

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

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Job Description

Amazon.com Services LLC is seeking a Machine Learning Engineer to help design and deploy near-real-time ML systems that drive ad relevance within Amazon Ads. This onsite role in New York, NY centers on building end-to-end data pipelines, feature generation, and real-time inference at scale, empowering personalized ad experiences.

Location: New York, NY (onsite). Salary: USD 158,100 - 213,800 per year. Minimum experience: 2 years.

Responsibilities

Architect and maintain near-real-time data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB to process shopper signals at scale (over 100K transactions per second with sub-second latency).
Create and sustain ML feature-generation services that convert raw user interactions into signals consumed by prediction models across Amazon Ads.
Improve the scalability, automation, and efficiency of large-scale training and real-time inference systems.
Develop data quality monitoring frameworks with automated alerts 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 end-to-end implementation with guidance from senior engineers.

Requirements

2+ years of non-internship professional software development experience.
Experience programming in at least one software language.
2+ years of design or architecture experience for new and existing systems, focusing on design patterns, reliability, and scaling.
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 base decisions on verifiable data, shaping processes, tools, and statistical methods to support rational decision-making.
Humbitious: driven to improve while remaining humble, using feedback to continually raise the bar.
Engaged by ambiguity: you tackle new problem spaces with unique constraints, quickly identifying gaps and the right colleagues to involve.

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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

Based in Palo Alto, CA on site, this Senior Machine Learning Engineer role centers on real-time ML serving for Sponsored Products and Brands Relevance. You will help shape technical direction, mentor engineers, and advance ad relevance using deep learning, NLP/LLMs, and distributed systems at Amazon scale. The position offers a compensation range of USD 193,300 to 261,500 per year and a comprehensive benefits package designed to support health, financial security, and work-life balance.

Benefits and culture

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 the technical direction for ML solutions across deep learning, AWS infrastructure, AutoML, and real-time serving systems
Design, develop, and own scalable offline ML pipelines and online serving components that process billions of requests per day with millisecond latency
Collaborate closely with applied scientists to optimize model performance, boost ML productivity, and strengthen the technical foundation that powers scientific innovation
Troubleshoot and support high-volume, low-latency distributed systems, taking ownership of what you build
Mentor junior engineers to deliver high-impact products and services for Amazon customers and sellers
Make technology choices that balance innovation velocity with operational excellence and business needs

Qualifications

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

Technologies

PyTorch
TensorFlow
SageMaker
Triton
vLLM
Spark
AutoML
AWS

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Amazon Ads Engineer Jobs

Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance

Machine Learning Engineer

Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

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