Company
Software (AI)
SeniorAppliedScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied Scientist. Skills: generative AI, agentic AI, deep learning, Large language models (LLMs), Python, PyTorch, TensorFlow. developing and deploying generative AI, agentic AI, and deep learning-based solutions. build scalable solutions that solve meaningful real-world challenges”
What You'll Achieve.
Successfully shipping AI-powered products; hands-on product impact; scalable solutions; reliable production systems
Industry & Context.
Problem Solving; build scalable solutions that solve meaningful real-world challenges
What They're Looking For.
Must Have
Ph. D. in Computer Science, Artificial Intelligence, or a related field, Equivalent industry experience, 3-6 years with Applied research in AI, Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks, Successfully shipping AI-powered products (not just publishing or prototyping), Hands-on experience designing and deploying agentic AI systems, including tool usage, function calling, planning, multi-agent orchestration, retrieval-augmented generation, and evaluating agent behavior in production environments, Pre-training and/or fine-tuning foundational large language models, Proficiency in programming languages such as Python or C++, Deep understanding of transformer architectures, deep learning, and generative AI, Experience in natural language processing (NLP) for generative and agentic AI applications, Experience building and deploying scalable AI/ML solutions in real-world applications
Nice to Have
AWS certifications related to generative AI, Published research findings at top-tier conferences and journals, Supervised fine-tuning, RLHF/DPO, LoRA/PEFT, distillation, and large-scale distributed training
What You'll Do.
developing and deploying generative AI
and deep learning-based solutions
build scalable solutions that solve meaningful real-world challenges
and hands-on product impact
How You'll Work.
Team & Collaboration
collaborative and forward-thinking Senior Applied Scientist to join their Seattle-based AI team; partner with a diverse team of scientists, engineers, and product leaders; thrive in communicative, collaborative, cross-functional environments
Communication Scope
communicative; collaborative; cross-functional environments
Full Job Description
Location: Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty: Identity verification, fraud prevention, background screening, and risk intelligence. OVERVIEW Our publicly traded client develops proprietary technology and analytics to deliver identity intelligence, powering critical solutions that help organizations operate confidently. Their 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. These solutions support frictionless commerce, enhance safety, reduce fraud, and lower related societal costs. KEY RESPONSIBILITIES Our client is looking for a collaborative and forward-thinking Senior Applied Scientist to join their Seattle-based AI team. In this role, your work will focus on developing and deploying generative AI, agentic AI, and deep learning-based solutions. You’ll partner with a diverse team of scientists, engineers, and product leaders to build scalable solutions that solve meaningful real-world challenges. This is an opportunity for someone who enjoys balancing research, experimentation, and hands-on product impact in a fast-moving environment where curiosity, creativity, and continuous learning are valued. QUALIFICATIONS Education Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI, agentic AI, deep learning, reinforcement learning, and/or graph neural networks. -or- Equivalent industry experience Experience: - 3-6 years with Applied research in AI. - Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks. - Successfully shipping AI-powered products (not just publishing or prototyping). Strengths: - Hands-on experience designing and deploying agentic AI systems, including tool usage, function calling, planning, multi-agent orchestration, retrieval-augmented generat
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