AI Research Scientist

Full Description

Our client, a cutting-edge research and development organization pushing the boundaries of artificial intelligence, is seeking a brilliant AI Research Scientist to join their globally distributed, remote-first team.

This is an unparalleled opportunity to work on groundbreaking projects, contributing to the advancement of AI technologies that will shape the future.

You will be at the forefront of innovation, conducting advanced research, developing novel algorithms, and publishing findings in top-tier academic venues and industry conferences.

As an AI Research Scientist, your primary responsibilities will include designing and conducting experiments, developing and implementing machine learning models, and analyzing large datasets to extract meaningful insights.

You will collaborate with a team of world-class researchers and engineers, exploring new frontiers in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.

The ideal candidate will possess a strong theoretical foundation in AI and machine learning, coupled with practical experience in applying these concepts to solve complex real-world problems.

You will be expected to stay abreast of the latest research trends and contribute innovative ideas to the team's research roadmap.

A Ph.

D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field is strongly preferred.

Alternatively, a Master's degree with exceptional research experience and publications will be considered.

Demonstrated experience in developing and deploying AI/ML models, proficiency in programming languages such as Python, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) are essential.

A strong publication record in relevant conferences and journals is highly desirable.

Excellent communication, collaboration, and problem-solving skills are critical for effective remote teamwork. This is a fully remote position, requiring a high degree of self-motivation and the ability to work independently and effectively in a virtual environment.