AI Research Scientist - Generative Models

Placements24

South Africa

A distancia

ZAR 1.976.000 - 2.964.000

Jornada completa

hace 36 horas
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Ventajas ofrecidas por este puesto de trabajo

Remote work
Health insurance
Performance bonus
Conference funding

Descripción de la vacante

Placements24 is seeking an innovative AI Research Scientist specializing in Generative Models for a fully remote role. You will drive cutting-edge research in GANs, VAEs, and diffusion models, building scalable experiments and publishing results in top conferences.

You will implement models in TensorFlow and PyTorch, analyze complex data, mentor interns, and collaborate with teams to translate breakthroughs into products in a remote-first environment.

Formación

  • PhD in CS/AI/ML or related field.
  • Proven publications in leading AI conferences (NeurIPS, ICML, ICLR, CVPR).
  • Strong Python & deep learning framework skills (TensorFlow, PyTorch).
  • Ability to work remotely and communicate findings clearly.

Responsabilidades

  • Conduct state-of-the-art research in generative AI models (GANs, VAEs, diffusion models).
  • Develop novel algorithms for high-quality data generation (images, text, audio).
  • Implement and experiment with deep learning models using TensorFlow and PyTorch.
  • Analyze and interpret complex research data and publish results in top venues.
  • Collaborate with cross-functional teams to integrate generative models into products.
  • Mentor junior researchers and interns in generative AI.
  • Stay updated on the latest AI research and industry trends.
  • Contribute to IP through patent applications.

Conocimientos

Python
Research
Distributed training

Educación

PhD in CS/AI/ML

Herramientas

TensorFlow
PyTorch

Descripción del empleo

About the Role

Our client is seeking an innovative AI Research Scientist specializing in Generative Models for a fully remote position. This role is at the forefront of AI innovation, focusing on developing and exploring cutting-edge generative AI techniques, such as GANs and VAEs, for various applications including content creation, data augmentation, and synthetic data generation. You will contribute to novel research, publish findings, and help translate research breakthroughs into practical solutions. This is an unparalleled opportunity to work on groundbreaking AI research in a remote-first environment, collaborating with a world-class team. We are committed to fostering a culture of scientific inquiry and pushing the boundaries of artificial intelligence. Your work will directly influence the next generation of AI-driven creative tools and platforms.

Key Responsibilities
  • Conduct state-of-the-art research in generative AI models (GANs, VAEs, Diffusion Models, etc).
  • Develop novel algorithms and architectures for generating high-quality data (images, text, audio, etc).
  • Implement and experiment with deep learning models using frameworks like TensorFlow and PyTorch.
  • Analyze and interpret complex research data.
  • Publish research findings in top-tier AI conferences and journals.
  • Collaborate with cross-functional teams to integrate generative models into products.
  • Stay abreast of the latest academic research and industry trends in generative AI.
  • Contribute to the intellectual property portfolio through patent applications.
  • Mentor junior researchers and interns in the field of generative AI.
  • Present research findings and technical concepts to diverse audiences.
Requirements
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven track record of research in generative models, evidenced by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
  • Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
  • Strong understanding of mathematical principles underlying deep learning and generative models.
  • Experience with large-scale data processing and distributed training.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, crucial for remote collaboration.
  • Ability to work independently and drive research initiatives in a remote setting.
  • Experience with data augmentation techniques and synthetic data generation is a plus.
  • Passion for advancing the state-of-the-art in artificial intelligence.
Benefits
  • This fully remote position offers a highly competitive salary, comprehensive health insurance, and an attractive performance bonus.
  • Employees have access to generous funding for professional development, including conference attendance and specialized training programs.
  • Enjoy the unparalleled flexibility of working from anywhere, contributing to groundbreaking AI research.
  • Our client promotes a culture of innovation, scientific excellence, and work-life balance, supporting its remote workforce.
  • Opportunities for career advancement and leadership in the field of generative AI are significant.
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