NLP Engineer

Seattle, Washington

Machine Learning

Permanent

Our client, an AI-driven organization impacting the legal sector, is hiring an NLP Engineer to join the team in Seattle, WA. The successful candidate will collaborate with the CTO and a skilled team to design and develop cutting-edge information retrieval systems that will directly shape the future of legal technology.

Responsibilities

As the NLP Engineer, you will work closely with the CTO and team to design and implement advanced information retrieval systems.
Enhance search functionality by utilizing NLP techniques, embeddings and vector databases to improve relevance and efficiency.
Assess requirements and choose appropriate technologies to develop scalable, maintainable search solutions.
Build reliable pipelines for processing PDFs, extracting text, named entities and key information.
Configure search engines, develop search APIs and integrate vector databases to enhance similarity scoring.
Fine-tune and optimize NLP models to improve search precision and relevance.
Create and maintain APIs for smooth communication between application components.
Identify and resolve system bottlenecks to improve retrieval speed and accuracy.
Collaborate with engineering, product, sales and customer success teams to ensure seamless integration of your work into the broader product.
Participate in regular Scrum/Agile meetings and provide mentorship to new members.

Skillset

At least 5 years of experience in NLP, information retrieval, and search technologies (e.g. Elasticsearch, OpenSearch, FAISS, Pinecone).
Expertise in vector-based search, embeddings and similarity scoring techniques.
Practical experience with PDF processing, text extraction and named entity recognition (NER).
Proficiency in deep learning frameworks (TensorFlow, PyTorch) and NLP libraries (Hugging Face, spaCy, NLTK).
Experience in developing and maintaining scalable APIs (REST, GraphQL, gRPC).
Strong Python skills with familiarity in cloud platforms such as AWS, GCP, or Azure.
Proven track record of optimizing system performance and managing large-scale search workloads.
Knowledge of knowledge graphs, ontologies or semantic search is a plus.
Previous experience working in legal sector is a bonus.