Amazon.com Services LLC
Technology
MachineLearningEngineer,AdResponsePrediction
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer, Ad Response Prediction at Amazon.com Services LLC. Skills: Machine Learning, Software Development, AI Technologies, ML Pipelines. Drive technical direction. Design ML pipelines”
Industry & Context.
Analytical; Troubleshoot; Problem-solving
What They're Looking For.
Must Have
3+ years professional software development, 3+ years full software development life cycle, 2+ years designing/developing large-scale applications, C#, C++, Java, or Perl experience, Knowledge of ML model architecture/inference
Nice to Have
Knowledge of ML and LLM fundamentals, Knowledge of ML frameworks, 1+ years building ML infrastructure, Bachelor's degree in CS, Engineering, Math
What You'll Do.
Drive technical direction
Troubleshoot ML pipelines
Design online serving systems
Code online serving systems
Troubleshoot online serving systems
Support online serving systems
Optimize ML model performance
Optimize ML model infrastructure
Implement end-to-end solutions
Own created solutions
Foster creative atmospheres
Hold engineers accountable
Collaborate on product direction
Contribute to engineering leaders
Share technical acumen
Drive org-wide technology decisions
Support decision-making
Hold engineers accountable
Explore problem spaces
How You'll Work.
Team & Collaboration
Applied scientists; Engineering; Product; UX; QA; Engineering leaders
Process & Methodology
Project management
Full Job 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 r
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