> Markdown version of [/jobs/ext/516306-applied-scientist-ii-search-ranking](https://www.wearedevelopers.com/jobs/ext/516306-applied-scientist-ii-search-ranking). 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). --- # Applied Scientist II, Search Ranking - **Company:** Amazon.com, Inc. - **Location:** Irvine, CA, United States - **Experience:** Experienced - **Salary:** $142,800.0 - $222,200.0 - **Contract:** Permanent contract - **Skills:** Mxnet, Java (Programming Language), A/B Testing, Unix, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Machine Learning, Parsing, Tensorflow, Software Engineering, High Performance Computing, Pytorch, Caffe, Deep Learning - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a1dac3d55468ef4c ## About the Role Do you have experience in UNIX?, Do you have a Master's degree?, * PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience * Experience programming in Java, C++, Python or related language * Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS * Experience using Unix/Linux * Experience in professional software development * Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning * Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch ## Description * Analyze the data and metrics resulting from traffic into Amazon's product search service. * Design, build, and deploy effective and innovative ML solutions to improve search ranking. * Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production. * Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR. ## Related Videos - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Behind the Curtain: How Recruiters Shortlist Devs in an AI-Driven Market and How You Stand Out](https://www.wearedevelopers.com/videos/100229-behind-the-curtain-how-recruiters-shortlist-devs-in-an-ai-driven-market-and-how-you-stand-out) - [Coffee with Developers - Robby Russell](https://www.wearedevelopers.com/videos/917-coffee-with-developers-robby-russell) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)