Staff Applied Scientist
Occupations:
Computer and Information Research ScientistsSoftware DevelopersData ScientistsComputer Occupations, All OtherComputer Systems Engineers/ArchitectsIndustries:
Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse FacilitiesChild Care ServicesOther Residential Care FacilitiesPrivate HouseholdsTraveler AccommodationJob DescriptionStaff Applied ScientistLocation: Seattle, WA (On-site downtown) - HybridType: Full-TimeIndustry: Software (AI)Compensation: $220K - $275KOur publicly traded client develops proprietary technology and analytics to deliver identity intelligence. Solutions enable real-time identification and location of people, businesses, assets, and their relationships for risk mitigation, due diligence, fraud prevention, regulatory compliance, and customer acquisition.Key ResponsibilitiesDevelop and deploy generative AI, agentic AI, and deep learning-based solutions.Partner with scientists, engineers, and product leaders to build scalable solutions for real-world challenges.Balance research, experimentation, and hands-on product impact.Drive projects forward independently with minimal guidance.Own ambiguous problem framing through research, prototyping, productionization, and post-launch iteration.QualificationsEducationPh.D. in Computer Science, Artificial Intelligence, or a related field (focus on: generative AI, agentic AI, deep learning, reinforcement learning, and/or graph neural networks).OR Equivalent industry experience.Experience Requirements5-7 years of experience in Applied research in AI.Experience with Large Language Models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.Proven track record of successfully shipping AI-powered products (not just publishing or prototyping).Technical SkillsAgentic AI: Hands-on experience designing and deploying systems including tool usage, function calling, planning, multi-agent orchestration, retrieval-augmented generation (RAG), and evaluating agent behavior in production.LLMs: Experience with pre-training and/or fine-tuning foundational large language models.Programming: Proficiency in Python or C++.Frameworks: Expertise in PyTorch, TensorFlow, or JAX.Core Knowledge: Deep understanding of transformer architectures, deep learning, generative AI, and NLP.Bonus SkillsFamiliarity with supervised fine-tuning, RLHF/DPO, LoRA/PEFT, distillation, and large-scale distributed training.AWS certifications related to generative AI.Published research findings 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 eventsOur client is a proud Equal Opportunity Employer.