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Strategic Finance Analyst, Mission Systems
Anduril Industries
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Model mission operations and software sustainment costs, including field support, software updates, and engineering support, and how they scale as the fielded fleet grows.
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Customer Care Specialist
Lucid Motors
Phoenix, AZ
…world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global…
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2027 Summer IT Operations & Asset Management Intern
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- $30 USD / hour
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Assembly Auditor Lead - Weekend Nights (Sat-Mon 5pm-5am)
US Conec, Ltd.
Fort Worth, TX
US Conec is seeking a detail-oriented Assembly Auditor Lead to join our weekend night shift team in Fort Worth, TX
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Advertising Sales Intern
DIRECTV
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- $20 to $28 USD / hour
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Senior Front-End and Agentic-UI Engineer
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Utilize approved AI-assisted engineering tools, such as GitHub Copilot, to accelerate software development, testing, documentation, troubleshooting, and analysis activities.
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Core Senior .NET Software Engineer
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Utilize approved AI-assisted engineering tools to accelerate software development, testing, documentation, troubleshooting, and analysis activities.
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Director Sales, Connected Services
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Pierre, SD
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YOU MUST HAVE:
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Manager, Regulatory Compliance
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Bachelor's degree in life sciences, scientific, or engineering field.
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Design Project Lead, Data Center Design and Construction
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…Critical Facilities to become part of our Data Center Design Engineering organization. Our data centers are the foundation upon which our software operates. Building and operating reliable…
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Analytics Program Manager
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Sr Field Service Technician
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YOU MUST HAVE
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Senior Software Engineer, Consumer Revenue
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San Francisco, CA
5+ years of software engineering experience. You’re a key technical contributor to your team and have led sizable projects which have had a big impact on your team’s roadmap.
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VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
VP, Total Rewards and People Operations
Fivetran
Remote, United States
…in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become…
Added 2 mins ago
State Strategy Director (Western US)
PowerSchool Group LLC
UNAVAILABLE
…around the world. As the global leader in cloud-based K-12 software, we support the full education ecosystem - from the central office to the classroom to the home. Joining PowerSchool…
Added 2 mins ago
Senior Network Engineer
Govcio LLC
Tampa, FL
Must possess an Active Secret
Added 2 mins ago
Senior Systems Engineer
Govcio LLC
Tampa, FL
Must have a valid US Passport and be prepared for up to 40% international travel to customer locations in Eastern Europe, Africa, and South America

Amazon.com Services LLC

Machine Learning Engineer, Sponsored Products and Brands

New York, NY, United States
Seattle, WA, United States

Apply on amazon.jobs About employer

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Job details

Posting language: English
Posted: Nov 12, 2026

Original job description

Sponsored Products and Brands (SPB) helps millions of advertisers reach shoppers across Amazon's stores worldwide. Behind every ad we show are machine learning models that predict click-through rate (CTR) and conversion rate (CVR). These predictions decide which ads are relevant, how they rank, and how advertisers get value.

Our team builds and runs the ML infrastructure behind those models, end to end:

Offline feature engineering: a multi-tenant platform used by several ML teams. It runs thousands of daily feature jobs over petabyte-scale data and produces the features that train models in every marketplace we serve.
Model training: the standard system that retrains CTR and CVR models every day. How fresh these models are directly affects advertiser results and Amazon's revenue.
Online feature store and feature retrieval: low-latency, high-throughput services that provide features when a model makes a prediction. These predictions feed the scores used in real-time ad ranking.
Next-generation research platform: a platform that uses AI agents to help scientists explore, test and launch new model ideas faster.

As an SDE II, you'll design, build and run distributed systems that work at very large scale, both in offline batch processing and online serving. You'll work closely with applied scientists and engineers to make models fresher, help scientists try ideas faster, and keep the systems that support ads ranking reliable.

Key job responsibilities

Design and develop ML infrastructure for advanced recommendation models, from training through real-time inference, that delivers highly relevant ads to shoppers worldwide
Improve the scalability, automation and efficiency of large-scale training and real-time inference systems
Work closely with applied scientists to optimize the performance of ML models and infrastructure, and take models from experimentation into production
Deliver ML solutions end to end: design, implementation, testing, deployment and operations
Collaborate with engineers and scientists across the team to build systems that serve ads across all Amazon platforms and surfaces
Participate in design and code reviews and mentor peers

A day in the life You might start the day checking the health of the overnight feature and training pipelines. Then you'd work with scientists on how to support a new model architecture, and spend the afternoon building a performance improvement for the online feature store. You'll ship often, see your work affect ads served around the world, and influence how ML infrastructure grows across the organization.

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 and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

We're the team behind the full ML lifecycle for Sponsored Products recommendation models, from raw data to features, training and real-time serving. We value ownership, getting things done, and close collaboration with science partners. We invest in mentorship and in tools that make engineers and scientists more productive, including AI-assisted development. Basic qualifications

3+ years of software development engineer or related occupational experience
3+ 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 building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
Experience programming with at least one software programming language Preferred qualifications
1+ years of mathematics optimization such as linear programming and nonlinear optimization experience
Master's degree in Computer Science, Engineering, Mathematics, or a related field

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, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

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More about this job

Skills

Machine learning
ML
Software development
C#
C++
Oracle Java
Perl
Data mining
Computer science
Recruitment
Mental health

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Work requirements

Jobs in the United States