Cypress HCM
Applied AI Scientist
Seattle, Washington, US
Role snapshot
Cypress HCM is hiring a Applied AI Scientist on a full-time basis. This is an on-site role based in Seattle, Washington, US.
- Company
- Cypress HCM
- Location
- Seattle, Washington, US
- Work mode
- On-site
- Job type
- Full-time
- Experience
- 3–6 years
- Pay listed
- $200,000 - $300,000
- Posted
- Nov 1, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what Cypress HCM publishes about its product or team, so you can say clearly why this role and this company.
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About the role
AI Applied Scientist Location: Seattle, WA (onsite) Employees: >200 | Team Size: 10 Industry: Technology Reports To: CTO 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. Most Important Responsibilities
- 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.
- 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.