Lead AI Research Scientist, Natural Language Processing

Full Description

Our client, a cutting-edge research and development lab at the forefront of AI innovation, is seeking a brilliant and motivated Lead AI Research Scientist specializing in Natural Language Processing (NLP).

This is a fully remote position, offering the flexibility to contribute to groundbreaking research from anywhere.

You will lead a team of talented researchers and engineers in pushing the boundaries of language understanding and generation.

Your responsibilities will include designing and implementing novel NLP algorithms, developing state-of-the-art language models, and conducting rigorous experiments to evaluate their performance.

You will also be responsible for publishing research findings in top-tier conferences and journals, mentoring junior scientists, and collaborating with product teams to translate research into practical applications.

The ideal candidate will possess a Ph.

D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record and deep expertise in deep learning, machine learning, and NLP techniques such as transformer models, recurrent neural networks, and attention mechanisms.

Proven experience in leading research projects and guiding technical teams is essential.

You should be proficient in programming languages like Python and frameworks such as TensorFlow or PyTorch.

We are looking for a visionary individual who is passionate about solving complex challenges in AI and driving forward the field of NLP.

Your contributions will be crucial in developing next-generation AI systems that can understand, process, and generate human language with unprecedented accuracy and fluency. This is an unparalleled opportunity to work on intellectually stimulating problems with a team of world-class AI experts in a dynamic and collaborative remote environment.

Responsibilities: Lead research initiatives in Natural Language Processing.

Design, develop, and implement advanced NLP algorithms and models.

Conduct experiments to evaluate and improve model performance.

Publish research findings in leading AI conferences and journals.

Mentor and guide junior AI researchers and engineers.

Collaborate with cross-functional teams to integrate NLP solutions into products.

Stay abreast of the latest advancements in AI and NLP research.

Contribute to the development of the AI research roadmap.

Present research findings to technical and non-technical audiences.

Qualifications: Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on NLP.

Minimum of 5 years of post-doctoral research experience in NLP.

Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ACL).

Deep understanding of deep learning, machine learning, and NLP techniques.

Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).

Experience leading research projects and teams.

Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills.