Staff Applied Scientist

Job Description

Staff Applied Scientist

Location: Seattle, WA (On-site downtown) - Hybrid

Type: Full-Time

Industry: Software (AI)

Software

Compensation: $220K - $275K

Machine Learning & Artificial Intelligence

Our 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 Responsibilities

• Develop 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.
  
  

Qualifications

Education

• Ph.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 Requirements

• 5-7 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 Skills

• Agentic 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 Skills

• Familiarity 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.
  
  

Benefits

• Stock (RSU) grants
• 401K with generous company match
• Flexible PTO policy
• Medical, dental, and vision coverage
• Commuter benefits
• In-office healthy snacks and team events
  
  

Our client is a proud Equal Opportunity Employer.

Machine Learning & Artificial Intelligence