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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI Scientist - **Company:** Cypress - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Artificial Neural Networks, C++ (Programming Language), Computer Programming, Fraud Prevention and Detection, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Deployment, Pytorch, Large Language Models, Deep Learning, Cypress (Programming Language), Generative AI, Agentic-AI, AI Platforms, Information Technology, Transformer Architectures - **Published:** October 2, 2026 - **Apply:** https://www.disabledperson.com/jobs/75666083-applied-ai-scientist ## About the Role We are seeking a highly skilled Senior Applied AI Scientist to help drive the next generation of intelligent machine learning solutions. This individual will play a key role in researching, designing, and deploying advanced AI capabilities with an emphasis on generative AI, autonomous agent architecture, large language models (LLMs), and deep learning., * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline. Equivalent professional experience with demonstrated technical expertise may also be considered. * 3-6+ years of industry experience developing applied AI or machine learning solutions. * Demonstrated success delivering AI-powered applications from concept through production deployment. * Strong programming experience with Python and/or C++. * Hands-on expertise with modern machine learning frameworks such as PyTorch, TensorFlow, or JAX. * Deep understanding of transformer architectures, neural networks, generative IA, and natural language processing. * Experience developing AI applications capable of operating reliability at enterprise scale. ## Description * Research, design, and implement advanced machine learning models focused on generative AI, autonomous AI agents, and deep learning technologies. * Develop production-ready AI systems utilizing LLNs, tool integrations, retrieval-augmented generation (RAG), planning workflows, and multi-step reasoning capabilities. * Build scalable AI solutions that support identity intelligence, fraud detection, risk analytics, search optimization, and related predictive applications. * Partner with software engineers, machine learning engineers, product managers, and technical stakeholders to define requirements and deliver high-impact AI capabilities. * Design and optimize transformer-based architectures, graph-based learning models, and modern information retrieval techniques. * Train, fine-tune, and customize foundation models for specialized business use cases when commercially available models do not meet performance expectations. * Analyze large, complex datasets to uncover insights, improve prediction accuracy, and enhance machine learning performance. * Evaluate emerging AI research and rapidly prototype new techniques for practical production use. * Contribute to the architecture, scalability, monitoring, and continuous improvement of enterprise AI platforms. * Present technical findings, research outcomes, and implementation strategies to engineering leadership and cross-functional teams. * Mentor junior scientists and contribute to technical best practices across the AI organization. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [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 in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [When worlds collide: How will generative AI change the way we design and build software](https://www.wearedevelopers.com/videos/606-when-worlds-collide-how-will-generative-ai-change-the-way-we-design-and-build-software) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [Got AI ideas but no money? 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