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AI Research Engineer - Generative Models

Remote / Online - Candidates ideally in
South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
About the Role

Our client is seeking an innovative AI Research Engineer focused on Generative Models to join their pioneering team, operating in a fully remote capacity. This role is at the cutting edge of AI, where you will be responsible for researching, developing, and implementing advanced generative models for various creative and analytical applications. You will work with a talented team of researchers and engineers to push the boundaries of what's possible with AI-generated content, from text and images to code and more.

This is an unparalleled opportunity to contribute to groundbreaking AI research and development from anywhere, fostering a culture of innovation and collaboration within a distributed team. We are looking for passionate individuals eager to make a significant impact.

Key Responsibilities
  • Research, design, and implement novel generative models, including GANs, VAEs, and diffusion models.
  • Develop and train models on large-scale datasets for applications such as image synthesis, text generation, and data augmentation.
  • Evaluate and benchmark the performance and quality of generative models.
  • Collaborate with other researchers and engineers to integrate generative AI capabilities into new products and features.
  • Stay current with the latest advancements in generative AI research and identify opportunities for application.
  • Develop robust and scalable code for research experiments and prototypes.
Requirements
  • Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
  • 3+ years of hands-on experience in AI research, with a strong focus on generative models.
  • Proficiency in Python and deep learning frameworks (e.g., Tensor Flow, PyTorch).
  • Solid understanding of deep learning architectures and optimization techniques.
  • Experience with large-scale data processing and distributed training is a plus.
  • Excellent problem-solving skills and the ability to work independently in a remote setting.
Benefits
  • Competitive salary and equity options.
  • Fully remote work arrangement with flexible hours.
  • Comprehensive health, dental, and vision insurance.
  • Generous budget for professional development, including attending conferences and workshops.
  • Opportunity to work on highly impactful, state-of-the-art AI research projects.
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