Remote AI Research Engineer (Generative Models)

About the Role

Our client is a leading AI research lab pushing the boundaries of artificial intelligence, and we are seeking a highly motivated Remote AI Research Engineer specializing in Generative Models. This role is fully remote, offering the flexibility to work from anywhere with a reliable internet connection. You will contribute to groundbreaking research and development in areas such as large language models (LLMs), diffusion models, and other generative AI techniques. Your responsibilities will include designing, implementing, and evaluating novel algorithms, building and scaling training infrastructure, and collaborating with a global team of top AI researchers. We are looking for individuals with a strong theoretical foundation, excellent programming skills, and a proven ability to conduct cutting-edge research.

This is a unique opportunity to work on impactful AI projects and shape the future of generative AI from the comfort of your home, irrespective of your specific location, though we have a presence near Rustenburg, North West.

Key Responsibilities

• Conduct research and development on state-of-the-art generative AI models, including LLMs, diffusion models, GANs, etc.
• Design, implement, and test new algorithms and architectures for generative tasks.
• Build and optimize large-scale training pipelines for complex deep learning models.
• Analyze model performance, identify areas for improvement, and iterate on research hypotheses.
• Collaborate with other researchers and engineers globally through remote communication tools.
• Stay abreast of the latest academic publications and industry trends in generative AI.
• Contribute to the development of new AI products and features powered by generative models.
• Write research papers, document findings, and present work at conferences and internal meetings.
• Ensure the ethical development and deployment of generative AI technologies.
• Contribute to the open-source AI community where applicable.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong theoretical understanding and practical experience with generative models (LLMs, diffusion models, GANs, etc.).
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with large-scale deep learning training, distributed computing, and cloud platforms (AWS, GCP, Azure).
• Strong analytical and problem-solving skills with a research-oriented mindset.
• Excellent programming skills and experience with software development best practices.
• Ability to work independently and effectively in a remote, collaborative environment.
• Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR) is a significant plus.
• Experience with model optimization, hyperparameter tuning, and efficient inference is highly desirable.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible work hours.
• Fully remote position, offering unparalleled work-life balance.
• Opportunities for professional development, including conference attendance and cutting-edge training.
• Be part of a world-class AI research team shaping the future of generative AI.
• Access to significant computational resources for research.