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, Computational Linguistics, or a related field. 5+ years of professional experience in Natural Language Processing engineering. Proven expertise in transformer-based models (e.g., BERT, GPT, RoBERTa) and their applications. Strong programming skills in Python and proficiency with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience with deep learning frameworks such as PyTorch or TensorFlow. Demonstrated experience in leading technical projects and mentoring junior engineers. Solid understanding of software development best practices, including version control (Git) and testing. Excellent problem-solving, communication, and interpersonal skills. Experience working in a hybrid or remote work environment is a plus. Benefits
Our client offers a highly competitive compensation package, including a base salary, annual bonus, and equity options. We provide comprehensive health, dental, and vision insurance plans. A generous 401(k) matching program is available. Our hybrid work model includes a stipend for home office setup and commuting support. Employees also benefit from professional development opportunities, including conference attendance and continuous learning resources. We offer ample paid time off, including vacation, holidays, and personal days. Wellness programs and access to on-site amenities (when in office) further enhance employee well-being. Join a dynamic team where innovation and collaboration are valued.