> Markdown version of [/jobs/ext/1501880-applied-scientist-iii-alexa-edge-ai](https://www.wearedevelopers.com/jobs/ext/1501880-applied-scientist-iii-alexa-edge-ai). 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 III, Alexa Edge AI - **Company:** Amazon.com, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $192,200.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Mxnet, Java (Programming Language), Amazon Alexa, Audio Signal Processing, Business Software, C++ (Programming Language), Distributed Systems, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Machine Translation, Natural Language Processing, NumPy, Software Tools, Tensorflow, SciPy, Speech Recognition, Apache Spark, Deep Learning, Spark Mllib, Scikit Learn - **Published:** July 30, 2026 - **Apply:** https://www.juju.com/job/00000000gkjchl ## About the Role 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 7+ 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. - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) ## Description The Alexa Edge AI team is looking for a passionate, talented, and innovative senior applied scientist with a strong background in deep learning and speech processing techniques. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of an industry-leading product used every day by people you know. As an Applied Scientist, you will leverage Amazon's heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in speech and audio processing., * Conduct applied research project(s) effectively and know when to ask for help and when to work independently * Engage with an experienced cross-disciplinary staff to conceive and design innovative solutions for consumer products. * Actively participate and contribute to research activities including publications and patents * Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)