2b:I[50748,["/_next/static/chunks/4066bc1c6c2349d5.js","/_next/static/chunks/537e4073b64dc941.js","/_next/static/chunks/2e81cd6ff4375c53.js","/_next/static/chunks/9fc50f9074987e82.js","/_next/static/chunks/6f62afb7a2519c36.js","/_next/static/chunks/e9929ff73971e68b.js","/_next/static/chunks/aa7cbeceb4b37dc5.js","/_next/static/chunks/193e9a652307d445.js"],"JobDetailContent"] 2c:T4c2,

Amazon is a global leader in technology and innovation, and they are seeking a Software Development Engineer for their Ads AI Core Infra team. The role involves designing and building scalable systems for a central data lake that supports complex queries and decision-making processes for advertising data.

Responsibilities:

Engage with key decision makers such as Product & Program Managers to understand customer requirements and brainstorm on solutions
Design, code and deploy components and micro-services for the core job management pipeline
Ensure testability, maintanability and low operational footprint for your code
Participate in operational responsibilities with your team
Innovate on AWS technology to improve latency, reduce cost and operations
Focus on core engineering opportunities to guarantee system availability that matches our data growth
Work with a skilled team of engineers, managers and decision makers to consistently meet customer demand
Automate monitoring of data availability, quality and usability via simplified metrics and drive innovations to improve guarantees for our customers

2d:T50c,

Amazon is a leading technology company focused on redefining the advertising landscape through innovative AI solutions. The Applied Scientist role within the Sponsored Products and Brands team involves developing cutting-edge generative AI technologies to enhance advertising experiences and improve customer engagement.

Responsibilities:

Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences
Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life
Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization
Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling
Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team

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