Senior AI Research Scientist - Generative Models

Placements24

LegKraal Gate

On-site

ZAR 2,000,000 - 3,000,000

Full time

5 days ago
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Benefits offered by this job

Research bonuses
Health and wellness benefits
Conference attendance support
Extensive computing resources
Collaborative R&D environment

Job summary

Placements24 seeks a Senior AI Research Scientist in Mahikeng, North West, to advance generative models such as LLMs, diffusion models, and GANs. You will lead research, design experiments, and collaborate with engineers to turn breakthroughs into AI-enabled products.

The role requires a PhD in a related field, a strong publication record, and expertise in PyTorch/TensorFlow, with a focus on scalable research infrastructure. Excellent communication and leadership are expected.

Qualifications

  • PhD in Computer Science, AI or ML with a focus on generative models.
  • 5+ years of research experience in AI/ML, focused on generative modeling.
  • Strong publication record in top AI conferences.

Responsibilities

  • Lead cutting-edge research in generative AI (LLMs, diffusion models, GANs).
  • Develop, train and evaluate novel generative models for diverse applications.
  • Design rigorous experiments and validate hypotheses.
  • Collaborate with engineers to translate research into products.
  • Publish findings in top AI venues and mentor juniors.

Skills

Generative AI
Deep learning frameworks (TensorFlow/P

Education

PhD in Computer Science, AI/ML or related field

Tools

Python

Job description

About the Role

Our client, a leading research and development firm in artificial intelligence, is seeking a Senior AI Research Scientist with a specialization in Generative Models to join their esteemed team in Mahikeng, North West. This role is pivotal in pushing the frontiers of generative AI, including large language models (LLMs), diffusion models, and GANs. You will be responsible for conceptualizing, developing, and implementing novel generative approaches to solve complex problems and create innovative AI applications. The ideal candidate possesses a deep theoretical understanding and practical experience in generative modeling, a passion for cutting-edge research, and a strong publication record. This is a unique opportunity to contribute to groundbreaking AI research within Mahikeng, North West, working alongside world-class scientists and engineers in a highly collaborative and resource-rich environment. If you are driven by discovery and aim to shape the future of AI, this role offers unparalleled potential for impact and growth.

Key Responsibilities
  • Conduct cutting-edge research in generative AI, focusing on areas such as LLMs, diffusion models, GANs, and VAEs.
  • Develop, train, and evaluate novel generative models for diverse applications (e.g., content creation, data augmentation, simulation).
  • Design and implement experiments to rigorously test hypotheses and advance the state-of-the-art.
  • Collaborate with engineers to translate research breakthroughs into practical AI systems and products.
  • Publish research findings in top-tier AI conferences and journals.
  • Mentor junior researchers and contribute to the team's research direction and strategy.
  • Stay abreast of the latest advancements in generative AI and related fields.
  • Contribute to the development of robust and scalable research infrastructure.
  • Analyze and interpret complex experimental results to inform future research.
Requirements
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong focus on generative models.
  • 5+ years of research experience in AI/ML, with a significant portion dedicated to generative models.
  • Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
  • Deep expertise in deep learning frameworks such as TensorFlow or PyTorch.
  • Strong theoretical understanding of probability, statistics, and optimization.
  • Proficiency in Python and relevant scientific libraries.
  • Experience with large-scale model training and distributed computing is highly desirable.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and collaboration skills, with the ability to present complex ideas effectively.
Benefits
  • Highly competitive salary and significant research bonuses.
  • Comprehensive health and wellness benefits.
  • Generous professional development budget and conference attendance.
  • Access to extensive computational resources and cutting-edge research tools.
  • A stimulating and collaborative research environment in Mahikeng, North West.
  • Opportunity to work on transformative AI technologies.
  • Career progression opportunities within a leading R&D organization.
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