Remote AI Research Scientist - Natural Language Processing

Full Description

Our client is a cutting-edge technology company at the forefront of Artificial Intelligence innovation, driving advancements in machine learning and its practical applications.

We are seeking a highly talented and motivated Remote AI Research Scientist specializing in Natural Language Processing (NLP) to join our world-class, fully remote research team.

This is an exceptional opportunity to conduct pioneering research and develop state-of-the-art NLP models and solutions that will shape the future of human-computer interaction.

As a Remote AI Research Scientist, you will delve into challenging problems related to text understanding, generation, translation, sentiment analysis, and conversational AI.

Your responsibilities will include designing and implementing novel algorithms, conducting rigorous experiments, analyzing results, and publishing findings in top-tier scientific venues. You will work with large datasets, explore various deep learning architectures (e.g., Transformers, RNNs, LSTMs), and contribute to the development of scalable and efficient NLP systems.

Collaboration with other AI researchers, engineers, and product teams across the globe will be a key component of this role, requiring excellent communication and teamwork skills in a virtual environment.

The ideal candidate will possess a Ph.D. or a Master's degree with significant research experience in Computer Science, AI, Machine Learning, or a closely related field, with a strong focus on NLP. Proven experience with major deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is essential.

We are looking for a creative, curious, and driven individual with a strong theoretical foundation and a passion for pushing the boundaries of AI.

If you are a visionary researcher eager to tackle complex NLP challenges and contribute to groundbreaking AI advancements from a remote setting, we invite you to apply.

Key Responsibilities: Conduct research and develop novel algorithms and models in Natural Language Processing (NLP).

Design and implement deep learning architectures for tasks such as text classification, sequence labeling, machine translation, and text generation.

Process and analyze large-scale text datasets to train and evaluate NLP models.

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

Publish research findings in leading academic conferences and journals.

Collaborate with a global team of researchers and engineers on AI projects.

Develop and prototype NLP-powered applications and features.

Evaluate the performance and efficiency of developed models.

Contribute to the company's intellectual property through patents and publications.

Mentor junior researchers and interns in the field of NLP.

Qualifications: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP. Strong publication record in top-tier AI/NLP conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP).

Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.

Proficiency in Python and relevant libraries for data science and machine learning (e.g., NumPy, SciPy, Pandas, Scikit-learn).

Deep understanding of NLP concepts, including tokenization, embeddings, attention mechanisms, and transformer architectures.

Experience with large language models (LLMs) and their applications.

Excellent analytical, mathematical, and algorithmic problem-solving skills.

Strong communication and collaboration skills for effective remote teamwork.

Ability to work independently, manage research projects, and drive innovation.

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