> Markdown version of [/jobs/ext/220601-senior-applied-scientist-generative-ai-innovation-center](https://www.wearedevelopers.com/jobs/ext/220601-senior-applied-scientist-generative-ai-innovation-center). 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). --- # Senior Applied Scientist, Generative AI Innovation Center - **Company:** Amazon.com, Inc. - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $167,100.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Mxnet, Java (Programming Language), Amazon Web Services, C++ (Programming Language), Distributed Systems, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Software Tools, Tensorflow, SciPy, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Spark Mllib, Scikit Learn - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6b2e0cc57427d7b2 ## About the Role * 3+ years of building machine learning models for business application experience * PhD, or Master's degree and 6+ years of applied research experience * Experience programming in Java, C++, Python or related language * Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS * Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. * Experience with large scale distributed systems such as Hadoop, Spark etc. ## Description As an Applied Scientist, you will * Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges * Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production * Help customers build their solutions through approaches such as prompt engineering, model selection, training or fine-tuning * Provide customer and market feedback to product and engineering teams to help define product direction ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)