Top Natural Language Processing (NLP) Jobs in Seattle, WA

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Extract structured facts from long, unstructured and semi-structured documents while preserving exact source citations. Validate evidence, distinguish stated totals from derived calculations, handle ambiguity without guessing, and apply established extraction methods consistently. Collaborate with entity resolution and retrieval teams to support downstream systems. The role requires strong Python and NLP or information-extraction experience, U.S. citizenship, and an active Secret clearance.

Participate in a one-time, remote guided English voice recording session (~20 minutes) using your own compatible device. Must follow recording instructions, complete session in a quiet indoor environment, be at least 18, reside and record from an approved U.S. state, and submit one participation only. Approved participants who meet quality standards receive $25.

Lead and grow a team of Conversation Designers to build and scale conversational AI experiences. Partner with Product, Engineering, Analytics, and ML teams to drive strategy, tooling, evaluation, and quality practices. Recruit and remove roadblocks, own strategic initiatives, and remain hands-on in designing, testing, and improving AI-driven conversational products.

Design real-world ML and NLP tasks, build reference solutions and evaluation frameworks in Python, assess LLM outputs for correctness and reasoning, identify failure modes, create scoring rubrics, and collaborate with experts to improve model capabilities. Part-time, remote contractor (~20 hours/week).

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Perform language- and culture-sensitive human review and annotation of AI outputs across text, audio, and video. Generate or assess content, identify errors and cultural mismatches, provide structured annotations, and follow evaluation guidelines and QA calibration to improve models.

Conduct and productize cutting-edge multilingual live caption and translation research. Build and integrate ML/DL models, partner cross-functionally, act as domain expert, and present research across the company to drive localization impact.

Lead enterprise strategy and product management to scale AI-powered voice, chat, email, and conversational experiences. Own roadmap, platform modernization, global deployment, governance, and continuous optimization to increase digital adoption, reduce servicing demand, and deliver measurable business value across servicing operations.

Own the end-to-end vision and roadmap for Boulevard's AI Receptionist. Define how AI handles voice and text client interactions, design handoffs to humans, set success metrics (autonomous resolution, CSAT, adoption, retention), drive business outcomes and pricing, gather deep customer insight from self-care businesses, and lead cross-functional teams to deliver trustworthy, high-quality AI conversational experiences.