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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Alexa AI - **Company:** Amazon.com, Inc. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $143,700.0 - $194,400.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Alexa, Data Analysis, Software Applications, Software Design Patterns, Machine Learning, Performance Tuning, Scrum Methodology, Software Deployment, Software Engineering, Data Processing, Chatbots, Pytorch, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, TensorRT - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/646F99FA5CE947FA90672E9B86C7068B/job/ ## About the Role The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment., * 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 working with PyTorch or JAX software * Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, * Experience working with PyTorch or JAX software, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments * Experience developing large model hosting platforms, establishing frameworks, and scaling and optimizing inference system. * Experience developing and maintaining MLOps tool in large organizations. ## Description The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference. As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions., * Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. * Work closely with Applied scientists to process data, scale machine learning models * Will work in an Agile/Scrum environment to deliver high quality software. About the team Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [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)