Job Description

Posted on:

October 27, 2024

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? If so, we have an exciting opportunity for you! 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 design and develop machine learning-based identity solutions operating at internet-scale for extremely high volume, low latency systems aimed at driving revenue for Amazon.

Your responsibilities will include:

  • Building ML-based solutions and infrastructure with high scalability, utilizing both known and optimized models in collaboration with scientists.
  • Validating solutions in production to solve distributed systems and ad-serving problems.
  • Partnering closely with Product management, business development, scientists, and partner teams to develop new ideas and technical designs.
  • Making data-driven decisions for product prioritization and being an early adopter of emerging AWS technologies for AdTech use cases.

A day in the life of this role includes collaborative work both within and outside of the Advertising team. You will spend most of your time architecting, designing, and coding, while also engaging in discussions. As our team spans both the East and West coasts of the US, we prioritize team spirit and enjoy remote happy hours to celebrate each other's successes.

About the team: The AdTech Identity Program (AIP) team is addressing significant challenges in AdTech, specifically around reliably establishing customer identity in a cookie-less, ID-less world.

Basic Qualifications:

  • 3+ years of non-internship professional software development experience.
  • 2+ years of experience in systems design/architecture (design patterns, reliability, scaling).
  • Experience in programming with at least one software language and in building machine learning infrastructure validated in production.
  • Proficiency in at least one modern programming language such as Java, C++, or C#, including object-oriented design.

Preferred Qualifications:

  • 3+ years of full software development life cycle experience (coding standards, code reviews, source control, testing, operations).
  • Bachelor's degree in computer science or equivalent.
  • Experience in building large-scale machine learning infrastructure and validating in production.
  • Familiarity with Big Data technologies (AWS, Hadoop, SageMaker, Hive, etc.) and strong proficiency in Java, Python, Scala, or C++.
  • Coursework or thesis in machine learning, data mining, information retrieval, statistics, or natural language processing.
  • Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices.

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For those with disabilities who wish to request accommodations, please visit this link.

Compensation:

  • The base pay for this position ranges from $129,300/year to $223,600/year based on geographic location.
  • Pay will vary depending on job-related knowledge, skills, and experience.
  • Amazon offers a total compensation package which may include equity, sign-on payments, and a full range of medical, financial, and other benefits. For more information, visit this link.

This position will remain posted until filled. Interested individuals should apply via our internal or external career site.

Company: A9.com, Inc. Job ID: A2788429

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