Applied AI Scientist

Cypress HCM; Seattle (WA); On-site; USD 200,000 - 300,000; Full time

Job summary

Cypress HCM in Seattle, WA seeks a Senior Applied AI Scientist to drive next‑generation ML solutions. This role focuses on generative AI, autonomous agents, LLMs, and deep learning.

You will collaborate with software engineers and product teams to build production‑ready systems using RAG, tool integrations, and multi‑step reasoning, delivering measurable enterprise impact. Requirements include a PhD or equivalent, 3–6+ years in applied AI, strong Python/C++, and experience with

Qualifications

• Ph.D. or equivalent professional experience with demonstrated technical expertise.
• 3-6+ years of industry experience developing applied AI or machine learning solutions.
• Strong programming experience with Python and/or C++.

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, ML engineers, product managers, and 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 ML performance.
• Evaluate emerging AI research and rapidly prototype new techniques for production use.
• Contribute to architecture, scalability, monitoring, and continuous improvement of enterprise AI platforms.
• Present technical findings to engineering leadership and cross-functional teams.
• Mentor junior scientists and contribute to technical best practices across the AI organization.

Skills

Python

C++

PyTorch

TensorFlow

JAX

LLMs

NLP

Multi-step reasoning

Education

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related discipline

Tools

TensorFlow

PyTorch

JAX

Job description

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.

What you can bring to the table to impact this role, team, and 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.

Compensation: $200K - $300K (compensation varies depending on experience & level)