Principal Applied Scientist

Job DescriptionPrincipal Applied Scientist - AIPrincipal Applied ScientistCompany Industry: Software (AI) - Identity verification, fraud prevention, background screening, and risk intelligence.Location: Seattle, WA (On-site downtown) - HybridJob Type: Full-TimeOverviewThe client is a publicly traded company developing proprietary technology and analytics for identity intelligence. Their solutions enable real-time identification of people, businesses, and assets for risk mitigation, due diligence, fraud prevention, and regulatory compliance.Key ResponsibilitiesDrive the research, development, and refinement of generative AI, agentic AI, and deep learning models to address complex challenges in fraud detection, risk management, and identity verification.Partner with scientists, engineers, and product leaders to build scalable solutions.Balance research, experimentation, and hands-on product impact in a fast-moving environment.QualificationsEducationPh.D. in Computer Science, Artificial Intelligence, or a related field (focus on generative AI, agentic AI, deep learning, reinforcement learning, or graph neural networks).OR Equivalent industry experience.ExperienceDuration: 7+ years of Applied AI research.Technical Scope: Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.Product Impact: Successfully shipping AI-powered products (production deployment, not just prototyping).Required SkillsHands-on experience with agentic AI systems (tool usage, function calling, planning, multi-agent orchestration, RAG, production evaluation).Experience pre-training and/or fine-tuning foundational LLMs.Proficiency in programming languages: Python or C++.Expertise in AI frameworks: PyTorch, TensorFlow, JAX.Deep understanding of transformer architectures, deep learning, and generative AI, including NLP.Experience building/scaling AI/ML solutions for national or global contexts.Ability to independently drive projects, own ambiguous problem framing, and iterate through production.Bonus PointsFamiliarity with supervised fine-tuning, RLHF/DPO, LoRA/PEFT, distillation, and large-scale distributed training.AWS certifications related to generative AI.Published research at top-tier conferences and journals.BenefitsStock (RSU) grants401K with generous company matchFlexible PTO policyMedical, dental, and vision coverageCommuter benefitsIn-office healthy snacks and team eventsCompensation$250,000 - $350,000Our client is a proud Equal Opportunity Employer.