AI Research Scientist - Generative Models

Placements24; Benoni; Híbrido; ZAR 900.000 - 1.350.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Access to advanced computational ресур

IP portfolio opportunities

Descripción de la vacante

Placements24 is seeking an AI Research Scientist specializing in Generative Models to join our team in Benoni, Gauteng. You will lead research efforts to create novel AI systems capable of generating diverse data, including text, images, and other formats, and to publish findings.

You will collaborate with engineers, design experiments, and contribute to the company’s IP portfolio while leveraging hybrid work arrangements in Benoni.

Formación

• PhD or Master’s in CS/AI or related field.
• 4+ years research in generative models or DL.
• Proficiency in Python and PyTorch/TensorFlow.
• Strong publications or project work.

Responsabilidades

• Conduct cutting-edge research in generative models.
• Develop algorithms for synthetic data generation.
• Collaborate with engineers to deploy prototypes.
• Publish results in top AI conferences and journals.
• Contribute to IP portfolio of the company.

Conocimientos

Python

PyTorch

TensorFlow

Generative models

Research experience

Educación

PhD or Master's in CS/AI

Herramientas

CUDA

Descripción del empleo

About the Role

Our client is a dynamic innovator in the AI and Emerging Technologies space, dedicated to exploring and developing groundbreaking AI capabilities. We are seeking a motivated AI Research Scientist with a specialization in Generative Models to join our team in Benoni, Gauteng . This role is at the heart of our research efforts, focusing on creating novel AI systems capable of generating diverse and realistic data, including text, images, and other complex formats. You will have the opportunity to contribute to state-of-the-art research, publish findings, and influence the development of future AI applications. If you are passionate about pushing the frontiers of generative AI and thrive in a collaborative, research-intensive environment in Benoni , we encourage you to apply.

Key Responsibilities

• Conduct cutting-edge research in generative models, including GANs, VAEs, diffusion models, and transformer-based generative architectures.
• Develop and implement novel algorithms for generating realistic and diverse synthetic data.
• Explore applications of generative models in areas such as content creation, data augmentation, simulation, and anomaly detection.
• Collaborate with engineers to integrate research prototypes into scalable systems.
• Stay abreast of the latest advancements in generative AI research through literature review and conference participation.
• Design and execute experiments, analyze results, and document findings thoroughly.
• Publish research outcomes in top-tier AI conferences and journals.
• Contribute to the intellectual property and patent portfolio of the company.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 4 years of research experience in generative models or related areas of deep learning.
• Proven track record of research contributions, demonstrated through publications or significant project work.
• Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Deep understanding of the theoretical underpinnings and practical implementation of various generative model architectures.
• Experience with large-scale datasets and distributed training environments is beneficial.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills for presenting research findings.
• Ability to work both independently and collaboratively in a research team.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive medical and wellness benefits.
• Opportunities for professional growth, including conference attendance and further training.
• Hybrid work model offering flexibility.
• Access to advanced computational resources and research tools.
• A stimulating research environment focused on innovation in Benoni, Gauteng .
• Collaborative culture with opportunities for knowledge sharing.
• Retirement fund contribution.