> Markdown version of [/jobs/ext/3419244-machine-learning-engineer-amazon-ads-identity](https://www.wearedevelopers.com/jobs/ext/3419244-machine-learning-engineer-amazon-ads-identity). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Amazon Ads Identity - **Company:** A9.com, Inc. - **Location:** Palo Alto, CA, United States - **Salary:** $158,100.0 - $223,600.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Amazon Web Services, Software Applications, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Software Design Patterns, Distributed Systems, Perl (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, Multithreading, Information Technology, Data Analytics, Adserver, Build Process, Software Coding, Software Version Control - **Published:** September 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1f1c77c8a92b4ebb ## About the Role * 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 * Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field * 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 ## Description As a Software Development Engineer in Machine Learning at Amazon, you will contribute 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., 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 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! A day in the life You will work collaboratively both within and outside of the Advertising team. As a Software Engineer, you would spend most of your time architecting, designing and coding and the rest in collaboration and discussion. Since our team is in US East and West coast, we also like to have fun by taking time to celebrate each other and to spend time with remote happy hours. About the team Joining this team, you'll experience the benefits of working in a dynamic, fast-paced environment, while leveraging the resources of Amazon.com (AMZN). We provide a highly customer-centric, team-oriented environment. AdTech Identity Program (AIP) team is spearheading innovation for the existential challenges in AdTech today: The need for reliably establishing customer identity in a IDless world without 3P cookies or Device identifiers.