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 a direct impact on millions of customers every day? Our team is 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 that operate at internet scale with low latency. As a Software Development Engineer in Machine Learning at Amazon, you will play a key role in the technical direction of our solutions, working with a variety of technologies across Ads workflows that integrate with AIP.

Key job responsibilities:

  • Build ML-based solutions and infrastructure that handle extremely high scale, utilize known models or optimized modes, and function with highly distributed components.
  • Collaborate with applied scientists to optimize performance and validate solutions in production.
  • Develop new and innovative ad identity products by solving distributed systems and ad-serving problems.
  • Work closely with product management and partner teams to discuss new ideas, technical designs, and project plans while making data-driven decisions for product prioritization.
  • Adopt emerging AWS technologies for AdTech use cases, encouraging innovative thinking.

A day in the life:

You will work collaboratively within the Advertising team, spending most of your time architecting, designing, and coding, while also engaging in collaboration and discussion with team members. Our team, located across the US East and West coasts, values celebrating successes and fostering a fun work atmosphere.

About The Team:

Joining this dynamic team, you’ll benefit from a customer-centric, team-oriented environment. The AdTech Identity Program (AIP) team is addressing the critical challenges in AdTech today: establishing customer identity in a world without 3P cookies or device identifiers.

Basic Qualifications:

  • 3+ years of professional software development experience.
  • 2+ years of experience in design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • Experience programming with at least one modern programming language such as Java, C++, or C#.
  • Experience in building machine-learning infrastructure and validating it in production.

Preferred Qualifications:

  • 3+ years in the full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing.
  • Bachelor's degree in computer science or equivalent.
  • Experience with Big Data technologies such as AWS, Hadoop, SageMaker, Hive, etc.
  • Strong proficiency with 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, and enterprise system architecture.

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 individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Compensation:

The base pay for this position ranges from $129,300/year to $223,600/year, depending on geographic market and job-related knowledge, skills, and experience. Amazon also offers a total compensation package that may include equity, sign-on payments, and a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.

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

Company - A9.com, Inc. Job ID: A2788382

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