Remote Lead AI Research Scientist - NLP

Full Description

Our client, a cutting-edge technology firm at the forefront of Artificial Intelligence, is actively seeking a highly innovative and experienced Lead AI Research Scientist specializing in Natural Language Processing (NLP) to join their pioneering, fully remote team.

This senior role is pivotal in driving the research and development of next-generation AI technologies, with a specific focus on advancing the capabilities of language models, understanding, and generation.

The ideal candidate will possess a Ph.D. or equivalent research experience in Computer Science, AI, Machine Learning, or a closely related field, with a demonstrated history of impactful contributions to NLP research.

You will lead research initiatives, mentor a team of talented scientists, and explore novel approaches to complex NLP challenges such as sentiment analysis, machine translation, text summarization, and conversational AI.

Your work will involve staying abreast of the latest academic research, developing and implementing state-of-the-art algorithms, and publishing findings in top-tier conferences and journals. This position requires exceptional programming skills (Python), extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a profound understanding of linguistic structures and computational linguistics.

The ability to conceptualize, execute, and deliver groundbreaking AI solutions in a collaborative, remote setting is essential.

This is an unparalleled opportunity to shape the future of AI and make significant contributions to the field from the comfort of your home office.

Key Responsibilities:

Lead and conduct cutting-edge research in Natural Language Processing (NLP) and related AI fields.

Develop and implement novel algorithms and models for NLP tasks (e.g., text classification, sequence labeling, question answering, dialogue systems).

Mentor and guide junior research scientists and engineers.

Stay abreast of the latest advancements in AI, machine learning, and NLP research, including relevant academic publications.

Design and execute experiments to evaluate the performance of new models and techniques.

Collaborate with engineering teams to transition research prototypes into production-ready AI systems.

Publish research findings in leading AI conferences and journals.

Contribute to the development of intellectual property and patent applications.

Analyze large-scale text data to uncover insights and drive innovation.

Ensure the ethical development and deployment of AI technologies.

Present research progress and results to technical and executive leadership.

Contribute to the strategic direction of the company's AI research roadmap.

Qualifications:

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.

Minimum of 10 years of research experience in AI/ML, with a significant focus on NLP.

Proven track record of groundbreaking research and publications in top-tier NLP conferences (e.g., ACL, EMNLP, NAACL) or AI venues. Expertise in deep learning architectures for NLP (e.g., Transformers, RNNs, LSTMs) and proficiency in frameworks like TensorFlow or PyTorch. Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, NLTK, spaCy).

Deep understanding of linguistic principles and computational linguistics.

Experience with large-scale data processing and distributed computing.

Excellent analytical, problem-solving, and critical thinking skills.

Exceptional leadership, mentoring, and communication skills.

Ability to work independently and lead research projects in a remote setting.

Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.