ML Engineer: Identity for Ads at Scale

Amazon

New York (NY)

On-site

USD 158,000 - 214,000

Full time

5 days ago

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Job summary

Amazon Advertising Identity Program (AIP) is seeking a Software Development Engineer to help design and build ML-based identity solutions for a high-volume, low-latency ad tech environment. You will work with scientists to push ML models into production and shape the future of identity in ads across WWW globally.

Join a team that handles 40+ systems worldwide, leveraging AWS tech and data-driven decision making to deliver highly relevant ads at scale.

Qualifications

3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
1+ years of software development engineer or related occupational experience.
1+ 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 Object Oriented Design experience.
Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent

Responsibilities

You’ll build ML based solutions & infra that (1) handles supremely high scale (2) uses known models or optimized modes by collaborating with scientists (3) functions with our highly distributed components 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 box!