Remote Senior AI Research Scientist

Full Description

Our client, a cutting-edge research institution focused on the advancement of artificial intelligence, is seeking a highly motivated and innovative Remote Senior AI Research Scientist.

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

You will be at the forefront of developing novel AI algorithms and models, contributing to transformative advancements in machine learning, deep learning, and related fields.

The ideal candidate will have a Ph.

D. in Computer Science, AI, or a closely related discipline, coupled with a strong publication record in top-tier AI conferences and journals. You will lead research projects, mentor junior scientists, and collaborate with a global team of experts to push the boundaries of what's possible in AI.

Responsibilities include designing and implementing experiments, analyzing complex datasets, and translating research findings into practical applications.

A deep understanding of various AI paradigms, including but not limited to natural language processing (NLP), computer vision, reinforcement learning, and generative models, is essential.

We are looking for a visionary individual who can identify promising research directions, secure funding, and publish high-impact work.

Your ability to work independently, manage research timelines, and communicate complex technical concepts clearly will be vital.

This role presents a unique opportunity to shape the future of AI through pioneering research and development, contributing to a collaborative and intellectually stimulating remote environment.

Responsibilities: Conduct cutting-edge research in artificial intelligence, focusing on machine learning, deep learning, and related areas.

Develop, implement, and evaluate novel AI algorithms and models.

Publish research findings in leading academic journals and conferences.

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

Mentor and guide junior research scientists and PhD students.

Design and execute rigorous experiments to validate research hypotheses.

Analyze large-scale datasets to extract insights and inform model development.

Contribute to grant proposals and secure research funding.

Stay abreast of the latest advancements and trends in AI research. Translate research breakthroughs into potential product features or solutions.

Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

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

Strong publication record in top-tier AI venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).

Deep expertise in at least one of the following areas: NLP, Computer Vision, Reinforcement Learning, Generative Models, or Explainable AI.

Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

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

Strong verbal and written communication skills, with the ability to present complex technical information effectively.

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

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