Machine Learning Engineer, Amazon Ads Identity
AI summary of the role
This role is for a Machine Learning Engineer on the AdTech Identity Program (AIP) team within Amazon Ads, focused on building identity resolution and graph solutions at internet scale in a cookieless, ID-less world.
What you’ll do
- Build ML-based identity solutions and infrastructure that handle supremely high scale, using known or optimized models in collaboration with scientists.
- Solve distributed systems and ad-serving problems that manifest only at internet scale.
- Partner with scientists to develop and validate ML models in production.
- Work with product management, business development, and partner teams on technical design and project plans.
What you’ll bring
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience (design patterns, reliability, scaling).
- 1+ years of experience designing and developing large-scale distributed software using C#, C++, Java, or Perl.
- 1+ years of Object Oriented Design experience.
Technologies
C# · C++ · Java · Perl · machine learning · distributed systems · AWS · ad serving · identity resolution
About Amazon (incl AWS)
Online retail, third-party marketplace, Prime/ads/devices, and AWS — the world's largest cloud platform powering startups and enterprises.
Public
Source and classification
Production engineering · Evidence for this classification:
Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Do you want to have direct and immediate impact on millions of customers every day? Do you want to closely work with our experienced scientists to build Machine Learning identity based innovations? We are building the next generation of Identity products and services that will fuel the growth of Amazon’s advertising business. We are looking for self-driven and talented engineers to revel in designing, developing machine learning based identity building and resolution which operates for extremely high volume (internet-scale), low latency systems to drive revenue to Amazon. Our systems and algorithms operate on internet scale serving advertised products with a high relevance bar and strict latency
More from the job description
Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Do you want to have direct and immediate impact on millions of customers every day? Do you want to closely work with our experienced scientists to build Machine Learning identity based innovations? We are building the next generation of Identity products and services that will fuel the growth of Amazon’s advertising business. We are looking for self-driven and talented engineers to revel in designing, developing machine learning based identity building and resolution which operates for extremely high volume (internet-scale), low latency systems to drive revenue to Amazon. Our systems and algorithms operate on internet scale serving advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the identity building and resolution in the ID-less world. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of Amazon Ads world wide. This is an opportunity to make a significant impact on the future of the Amazon Ads vision. As a Software Development Engineer in Machine Learning at [... source excerpt omitted ...] ntribute to the technical direction of our offerings and solutions, working with many different technologies across Ads workflows (40+ systems) world wide that integrate with AIP. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own. Key job responsibilities In this role, you will: - You’ll build ML based solutions & infra that (1) handles supremely high scale (2) uses known models or optimized modes by collaborating with scien [... source excerpt omitted ...] mponents and (4) validate them in production WW - You’ll also have an opportunity to partner with our scientists who have years of experience building ML models and experiment in production. - Solve distributed systems and ad-serving problems that manifest only at supremely high scale. - Peer with senior engineers and scientists to develop new and innovative ad identity products. - Work closely with Product management, business development, scientists and partner teams about new ideas, technical design and project plans - Make data-driven decisions to inform product prioritization. - Be an early adopter of emerging AWS technologies for AdTech use cases. - Think out of the bo
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