Applied AI Scientist

Job Description

AI Applied Scientist

Location: Seattle, WA (onsite)\n
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Employees: >200 | Team Size: 10\n
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Industry: Technology\n
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Reports To: CTO\n
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\nWe 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.\n
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Most Important Responsibilities

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• Research, design, and implement advanced machine learning models focused on generative AI, autonomous AI agents, and deep learning technologies.

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• Develop production-ready AI systems utilizing LLNs, tool integrations, retrieval-augmented generation (RAG), planning workflows, and multi-step reasoning capabilities.

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• Build scalable AI solutions that support identity intelligence, fraud detection, risk analytics, search optimization, and related predictive applications.

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• Partner with software engineers, machine learning engineers, product managers, and technical stakeholders to define requirements and deliver high-impact AI capabilities.

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• Design and optimize transformer-based architectures, graph-based learning models, and modern information retrieval techniques.

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• Train, fine-tune, and customize foundation models for specialized business use cases when commercially available models do not meet performance expectations.

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• Analyze large, complex datasets to uncover insights, improve prediction accuracy, and enhance machine learning performance.

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• Evaluate emerging AI research and rapidly prototype new techniques for practical production use.

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• Contribute to the architecture, scalability, monitoring, and continuous improvement of enterprise AI platforms.

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• Present technical findings, research outcomes, and implementation strategies to engineering leadership and cross-functional teams.

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• Mentor junior scientists and contribute to technical best practices across the AI organization.
  
  

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

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• 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.

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• 3-6+ years of industry experience developing applied AI or machine learning solutions.

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• Demonstrated success delivering AI-powered applications from concept through production deployment.

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• Strong programming experience with Python and/or C++.

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• Hands-on expertise with modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.

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• Deep understanding of transformer architectures, neural networks, generative IA, and natural language processing.

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• Experience developing AI applications capable of operating reliability at enterprise scale.
  
  

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