Lead NLP Engineer
Transformer Architectures | Flexgen
San Francisco, CARemote OKFull-time$140k – $220k / year
About this role
Lead NLP Engineer - Transformer Architectures | Flexgen
Lead NLP Engineer - Transformer Architectures
Posted Jul 28, 2026
About the Role
- Our client, a pioneering tech firm in the heart of Silicon Valley, is looking for a dynamic Lead NLP Engineer to spearhead the development of our next-generation natural language processing systems. This hybrid role offers a blend of in-office collaboration and remote flexibility, allowing you to contribute from our state-of-the-art San Jose campus and your dedicated home workspace. You will be at the forefront of applying transformer architectures and other advanced NLP techniques to solve challenging real-world problems. This is an opportunity to lead a talented team, influence technical direction, and shape the future of how machines understand and generate human language. Our client fosters an environment where innovation thrives, and your contributions will have a direct impact on groundbreaking products and services used by millions worldwide. Join us in pushing the boundaries of what's possible in AI and language understanding.
- Key Responsibilities Lead the design, development, and implementation of advanced NLP models and systems, with a focus on transformer architectures. Oversee and mentor a team of NLP engineers and researchers, fostering a collaborative and high-performance culture. Collaborate with product managers and data scientists to define NLP requirements and translate them into actionable engineering plans. Develop and maintain robust, scalable, and production-ready NLP pipelines and services. Conduct research into new NLP techniques, algorithms, and tools to enhance our product offerings. Evaluate and integrate state-of-the-art NLP models and libraries. Optimize NLP models for performance, efficiency, and accuracy in production environments. Present technical findings and project updates to stakeholders across the organization. Requirements Master's or Ph.D. degree in Computer Science, Computati
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