Machine Learning Engineer, Ad Response Prediction

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Advertising, Algorithms, Alliance/Partner Management, Analysis Skills, Artificial Intelligence (AI), C++ Programming Language, Code Reviews, Coding Standards, Computer Science, Continuous Improvement, Cross-Functional, Customer/Client Research, Decision Support, Distributed Applications, Embedded Software, Identify Issues, JAX (Java API for XML), Java, Machine Learning, Mathematics, Microsoft C# (C Sharp), Multithreaded Programming, Natural Language Processing (NLP), Online Advertising, Performance Analysis, Performance Metrics, Performance Modeling, Performance Tuning/Optimization, Perl Programming Language, Problem Solving Skills, Product Design, Product Management, Project/Program Management, Quality Assurance, Scientific Research, Software Design, Software Development, Software Development Lifecycle (SDLC), Source Code/Configuration Management (SCM), Startup, Systems Analysis, Team Lead/Manager, Testing, User Interface/Experience (UI/UX), Web Infrastructure

LOCATION

Seattle, WA

POSTED

17 days ago

Description 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. What we do: - Re-invent advertising experiences by bridging human creativity with artificial intelligence - Transform every aspect of the advertising lifecycle - from ad creation and optimization to performance analysis and customer insights - Develop responsible and intelligent AI technologies that balance advertiser needs, enhance the shopping experience, and strengthen the marketplace Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to deliver highly relevant ads and continuously improve the customer search and detail page experiences. As a Machine Learning Engineer, you will: - Drive the technical direction of our offerings across the Sponsored Products organization - Design, code, troubleshoot, and support scalable ML pipelines and online serving systems - Work closely with applied scientists to optimize ML model performance and infrastructure - Implement end-to-end solutions - what you create is what you own We're looking for curious, customer-obsessed engineers with a startup mentality - those who seek a disruptive yet clear mission, have an owner's mindset, and are relentlessly obsessed with delivering amazing products. Key job responsibilities You will: - Own technical vision and direction - Identify problems, develop solutions, and embrace performance metrics to assess system health - Build and grow your team - Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group - Collaborate on product direction - Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers - Lead beyond your team - Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions - Own your own shop - Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365) You are: - Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making - Team obsessed - You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results - Humbitious - Ambitious yet humble; you use introspection and feedback to continuously 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 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. Basic Qualifications - 3+ years of non-internship professional software development experience - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 2+ 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 - Knowledge of machine learning model architecture and inference Preferred Qualifications - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT - 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - Experience developing, deploying and managing AI products at scale 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

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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