Remote AI Research Scientist - Generative Models

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Performance bonus

Health & retirement benefits

Support for conferences

Education opportunities

Cutting-edge research resources

Job summary

Placements24 invites applications for a remote AI Research Scientist role focused on Generative Models. You will lead pioneering research on GANs, VAEs, diffusion models, and LLMs, with autonomy to design experiments and publish findings in top venues.

The position offers a highly flexible, fully remote setup, a competitive salary with a bonus, and comprehensive health and retirement benefits, plus support for conferences and continued education.

Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a research focus on generative models.
• A strong publication record in reputable AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
• Extensive experience in implementing and experimenting with generative models using frameworks like PyTorch or TensorFlow.
• Proficiency in Python and relevant scientific computing libraries.
• Deep understanding of the mathematical foundations of generative AI techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently, manage research projects, and drive innovation in a remote setting.
• Strong communication and presentation skills for effectively conveying research ideas and results.

Responsibilities

• Conduct pioneering research in generative AI, focusing on novel architectures and training methodologies.
• Develop, implement, and evaluate advanced generative models, including GANs, VAEs, diffusion models, and LLMs.
• Design and execute experiments to test hypotheses and validate new approaches.
• Analyze complex data to understand model behavior and identify areas for improvement.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with a global, remote team of researchers and engineers through virtual platforms.
• Stay at the cutting edge of generative AI research by reading academic papers and attending virtual seminars.
• Contribute to the development of internal tools and frameworks for research and experimentation.
• Mentor junior researchers and contribute to the vibrant research community within the organization.
• Explore potential applications of generative models across various domains.

Skills

Python programming

Analytical thinking

Communication skills

Independent work

Education

Ph.D. in Computer Science, AI, or ML

Tools

PyTorch

TensorFlow

Job description

About the Role

Our client, a trailblazing research institution at the forefront of artificial intelligence, is seeking a brilliant and innovative Remote AI Research Scientist specializing in Generative Models. This is a fully remote position, offering a unique opportunity to conduct groundbreaking research and contribute to the development of next-generation AI capabilities. You will focus on advancing the state-of-the-art in areas such as GANs, VAEs, diffusion models, and large language models for content generation. The ideal candidate possesses a deep theoretical understanding, a strong publication record, and hands‑on experience in implementing and experimenting with generative AI techniques. If you are passionate about pushing the boundaries of AI and thrive in an autonomous, research‑intensive environment, this role is an exceptional fit.

Key Responsibilities

• Conduct pioneering research in generative AI, focusing on novel architectures and training methodologies.
• Develop, implement, and evaluate advanced generative models, including GANs, VAEs, diffusion models, and LLMs.
• Design and execute experiments to test hypotheses and validate new approaches.
• Analyze complex data to understand model behavior and identify areas for improvement.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with a global, remote team of researchers and engineers through virtual platforms.
• Stay at the cutting edge of generative AI research by reading academic papers and attending virtual seminars.
• Contribute to the development of internal tools and frameworks for research and experimentation.
• Mentor junior researchers and contribute to the vibrant research community within the organization.
• Explore potential applications of generative models across various domains.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a research focus on generative models.
• A strong publication record in reputable AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
• Extensive experience in implementing and experimenting with generative models using frameworks like PyTorch or TensorFlow.
• Proficiency in Python and relevant scientific computing libraries.
• Deep understanding of the mathematical foundations of generative AI techniques.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Ability to work independently, manage research projects, and drive innovation in a remote setting.
• Strong communication and presentation skills for effectively conveying research ideas and results.

Benefits

This fully remote position offers unparalleled flexibility and the chance to work from anywhere globally. Our client provides a highly competitive salary, attractive bonus structure, and comprehensive health and retirement benefits. We are committed to fostering continuous learning and professional growth, offering support for attending virtual conferences, pursuing further education, and accessing cutting‑edge research resources. Join a world‑class research team dedicated to advancing the field of AI and contribute to impactful discoveries. This is an exciting opportunity to shape the future of generative artificial intelligence from the comfort of your home office.