Remote Generative AI Research Engineer — Equity & Impact

Placements24; Noord-Kaap; Hybride; ZAR 1 983 000 - 3 305 000; Plein temps

Avantages offerts par ce poste

Equity options

Fully remote

Health insurance

Professional development budget

Impactful AI projects

Résumé du poste

Placements24 is seeking an innovative AI Research Engineer focused on Generative Models to join their distributed team in a fully remote capacity. You will research, develop, and implement advanced generative models for creative and analytical applications, from text and images to code.

The role emphasizes collaboration with researchers and engineers, staying current with advancements, and producing robust, scalable code.

Qualifications

• Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
• 3+ years of hands-on AI research focusing on generative models.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed training is a plus.

Responsabilités

• Research, design, and implement novel generative models (GANs, VAEs, diffusion).
• Train models on large-scale datasets for image synthesis, text generation, and data augmentation.
• Evaluate and benchmark the performance and quality of generative models.
• Collaborate with researchers and engineers to integrate AI into products and features.
• Stay current with advances in generative AI and identify application opportunities.
• Develop robust, scalable code for research experiments and prototypes.

Connaissances

Python

Research experience

Generative models

Distributed training

Formation

Master's or PhD in Computer Science/AI/ML

Outils

TensorFlow

PyTorch

Description du poste

Placements24 is seeking an innovative AI Research Engineer focused on Generative Models to join their distributed team in a fully remote capacity. You will research, develop, and implement advanced generative models for creative and analytical applications, from text and images to code.

The role emphasizes collaboration with researchers and engineers, staying current with advancements, and producing robust, scalable code.