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Mid-Level Software Engineer
Belay Technologies
Fort Meade, MD
Belay Technologies is seeking a Mid-Level Software Engineer to join our intel team. Belay Technologies is seeking a dedicated Mid-Level Software Engineer to join our GATEKEEPER team,…
Added 4 days ago
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Senior Platform Software Engineer - OCI
Oracle
Little Rock, AR
- $92,500 to $209,500 USD / year
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Software Engineer
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Added 4 days ago
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Site Reliability Engineer II
Axon
Seattle, WA
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Added 4 days ago
Site Reliability Engineer II
Axon
Boston, MA · Seattle, WA
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Senior Platform Software Engineer - OCI
Oracle
Jefferson City, MO
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Software Engineer
H&R Block
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Dignitas Technologies LLC
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Software Development Engineer, Ads Analytics & Insights-Fixed
Amazon.com Services LLC
New York, NY
- 1+ years of software development engineer or related occupational experience
Added 4 days ago
Senior Engineer, Global Technology - Americas Capabilities
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Wyetech is seeking a Software Engineer (SWE) Skill Level 2 with strong Java experience, as well as experience with MapReduce, Cloud, GhostMachine, and QTA.
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Software Development Engineer in Test (SDET), Web + Server - Find My
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Proficiency in at least one object-oriented language (Java, Python, TypeScript/JavaScript, Go, or equivalent)
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Senior SDET **
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We are seeking a highly experienced Senior Software Development Engineer in Test (SDET) to support and expand automated testing capabilities across the software development lifecycle. In…
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Senior Java Engineer with AI Platform & AWS - Hybrid
Cognizant
Mclean, VA
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Develop modular and scalable Java and Springboot microservices that power AI lifecycle workflows on the platform ensuring reliable performance and clear separation of concerns across…
Added 4 days ago
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Senior Platform Software Engineer - OCI
Oracle
Richmond, VA
- $92,500 to $209,500 USD / year
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Amazon.com Services LLC

Software Development Engineer, Ads Analytics & Insights-Fixed

New York, NY, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

Amazon Ads works with hundreds of thousands of advertisers, each on a different journey - some running their first campaign, others expanding into streaming TV or display, some at risk of slowing down. The Sales AI team builds the machine learning products that tell sales teams where each advertiser is on that journey and what will help them grow. Our segmentation platform models how advertisers mature over time, predicts where each is heading, and identifies the actions most likely to move them forward - shaping how Amazon Ads organizes sales coverage and decides which advertisers receive managed support.

We're now evolving segmentation from describing where advertisers are to recommending what sellers should do: personalized, interpretable recommendations delivered directly in the tools sellers already use, with a feedback loop that measures which actions actually drive advertiser growth. You'll design and deliver the ML platform and data pipelines that take models from experimentation to production, deliver predictions and recommendations reliably to sales systems at scale, and help move from monthly batch outputs toward on-demand insights - working closely with applied scientists, data scientists, and product partners at the intersection of ML, large-scale data systems, and sales productivity.

Key job responsibilities

Design, develop, and operate the ML platform that takes segmentation models from experimentation to production - including feature ingestion, training, batch inference, and model monitoring
Deliver model outputs - predictions, scores, and recommendations - reliably to downstream sales systems and partner teams, with clear freshness, versioning, and availability guarantees
Build scalable, automated data pipelines that bring new advertiser and sales engagement signals into the models quickly, with strong data quality checks
Design and deliver solutions for well-scoped problems where the technical approach isn't yet defined - such as serving predictions on demand or generating explanations for recommendations
Partner with applied scientists and data scientists to productionize new models, shorten iteration cycles, and make it easy for scientists to ship without heavy engineering support
Build the instrumentation that captures how sellers use recommendations and what happens next, so the team can measure impact and improve the models
Deliver your services end to end - testing, deployment, monitoring, operational excellence, and on-call
Participate in design and code reviews, holding a high bar for quality, security, and reliability
Mentor teammates and help onboard new engineers

A day in the life Your morning might start with the scientists on your team, reviewing results from a new model experiment and deciding what it takes to get it into production. In the afternoon, you might design a pipeline for new advertiser signals, review a teammate's code, or agree with a partner team on how they'll consume a recommendation dataset. Some days you'll trace a data quality alert to its source and fix it; others you'll prototype on-demand predictions. You'll spend most of your day hands-on in the code, and see your work shape how sellers engage with advertisers.

About the team Sales AI is part of Amazon Ads. We're a team of software engineers, applied scientists, data scientists, and product managers who build the machine learning products behind how Amazon Ads understands advertisers and supports them through sales. Our segmentation models already inform how sales coverage is organized, and we're now extending that work into recommendations that sellers use every day. Engineers and scientists here work as one team: we take ideas from experiment to production together, and we judge success by how our work changes seller actions and advertiser growth - not by model metrics alone. Basic qualifications

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Experience programming with at least one software programming language Preferred qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

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More about this job

Skills

Software development
Google Ads
Google Analytics
Sales
ML
C#
C++
Oracle Java
Perl
Computer science
Recruitment
Mental health

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