Machine Learning Engineer II, Amazon Personalization
DESCRIPTION
Are you passionate about shaping the future of product discovery through cutting-edge AI technologies? Do you want to work on systems that impact millions of customers daily and drive billions of dollars in business value? If so, the Atlas team at Amazon has the ideal role for you.
The Atlas team is looking for a Software Development Engineer to help build and scale our product attribute processing engine, which powers personalized shopping experiences across Amazon. You will be part of a multidisciplinary team working on challenges involving large-scale data processing, natural language processing, and machine learning. Your work will play a crucial role in ensuring customers receive accurate, high-quality product recommendations through innovative features like AI Shopping Guides, Product Explorer, and more.
This role offers an exciting opportunity to work on Amazon’s highly visible systems, tackling complex problems around data cleaning, attribute generation, and model scalability. You’ll have the chance to sharpen your skills in deep learning, NLP, and scalable system design, all while being part of a team that directly impacts how millions of customers discover and purchase products on Amazon.
You will use big data, machine learning and analytical techniques to create scalable solutions for business problems. You bring strong thought leadership, great judgment, clear communication skills, and strong track record of delivery. Join us in building the future of product discovery!
About the team
The Atlas team’s mission is to provide reliable, scalable infrastructure and cutting-edge tools that enable Amazon's personalization services to deliver the right product information to the right customer at the right time. Atlas powers key customer experiences such as AI Shopping Guides, Product Explorer, and Preferences by curating comprehensive, high-quality product attributes and data from multiple sources. This capability enhances personalized product recommendations, search, and discovery while supporting Amazon’s ever-evolving marketplace.
Atlas integrates advanced technologies, including large language models (LLMs), and machine learning workflows, to process and enrich Amazon’s catalog data. Despite our progress, Atlas continues to operate in a "Day 1" mindset, always looking for new ways to improve. From refining attribute generation models to advancing the underlying architecture, we see endless opportunities to evolve and create impactful customer experiences. As part of the Consumer Engagement organization, Atlas is committed to fostering talent development and offering unique growth opportunities within a high-impact team.
If you’re interested in learning more or want to contribute to the future of personalized shopping, reach out to us directly!
BASIC 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
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 5+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to 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.