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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

Join Amazon Ads in New York, NY as a Machine Learning Engineer focused on Sponsored Products Off-Search Sourcing and Relevance, onsite, with a salary range of USD 158,100 to 213,800 per year.

Responsibilities

Design, implement, and maintain scalable ML infrastructure and data pipelines that support ad relevance and sourcing at large scale.
Create and optimize ML models that leverage deep product and shopper insights to surface relevant ads across non-Search surfaces.
Architect and deploy ad serving systems that handle high volume with low latency and strict availability.
Integrate ML solutions with distributed systems to support click-through prediction and ad auctions.
Evaluate impact through rapid A/B experiments, iterating to boost relevance and performance.
Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML driven solutions.

Requirements

At least 3 years of professional software development experience (not internships).
At least 2 years of design or architecture experience focusing on design patterns, reliability, and scalability of new or existing systems.
Proficiency in at least one programming language.

Benefits

Comprehensive health coverage including medical, dental, vision, prescriptions, Basic Life and AD&D, with optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement.
401(k) with company 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 re-inventing 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

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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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

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Amazon Ads Data 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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