Lead NLP Engineer - Remote

About the Role

Our client, a leader in AI and Emerging Technologies , is looking for an accomplished Lead NLP Engineer to join their fully remote team. You will guide the development and implementation of cutting-edge Natural Language Processing solutions that power key features and products. This role offers the opportunity to lead a team, define technical strategy, and work on challenging problems in areas such as sentiment analysis, text generation, and machine translation. If you are passionate about advancing language technology and thrive in a collaborative, remote-first environment, this is an excellent opportunity to make a significant impact.

Key Responsibilities

• Lead the design, development, and deployment of advanced NLP models and systems.
• Mentor and guide a team of NLP engineers, fostering technical excellence and innovation.
• Define the technical roadmap for NLP initiatives, aligning with product strategy and business goals.
• Develop and optimize algorithms for tasks such as text classification, named entity recognition, and question answering.
• Collaborate with data scientists and software engineers to integrate NLP capabilities into production applications.
• Stay current with the latest research and techniques in NLP and contribute to the advancement of the field.

Requirements

• MSc or PhD in Computer Science, Computational Linguistics, or a related field.
• 6+ years of experience in NLP engineering or research, with proven leadership capabilities.
• Expertise in Python and core NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Strong understanding of deep learning techniques applied to NLP, such as sequence models and attention mechanisms.
• Experience with large language models (LLMs) and their practical applications.
• Excellent communication skills and proven ability to lead effectively in a remote setting.

Benefits

• Executive-level salary and performance bonus.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and a fully remote work setup.
• Generous budget for professional development and continuous learning.
• Opportunity to work on groundbreaking NLP projects with significant real-world impact.