Senior AI Research Scientist: Generative ML & Innovation

Placements24; Stellenbosch; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary with performance bonuses

Health insurance

Retirement savings plan

Generous paid time off

Professional development & conferences

Descripción de la vacante

Placements24 in Stellenbosch, Western Cape, is seeking a Senior AI Research Scientist to drive generative AI research and development. You will design, implement, and evaluate cutting-edge models, including diffusion models and large language models, and collaborate with engineers to bring prototypes to production.

The ideal candidate holds a PhD or MSc in a quantitative field, has a strong publication record, and excels in Python and DL frameworks.

Formación

• PhD or MSc in Computer Science, AI, ML or related field.
• Strong track record of generative model or deep learning research.
• Proven publication record in top AI venues is highly desirable.
• Excellent problem-solving and analytical thinking.

Responsabilidades

• Lead advanced research in generative AI including GANs, VAEs, diffusion models, and LLMs.
• Design, implement, and evaluate novel AI algorithms and models.
• Publish research findings at top AI conferences and journals.
• Collaborate with engineering to translate research into production.
• Mentor junior researchers and shape the team's technical vision.
• Stay abreast of AI advances and maintain high-quality code for experiments.

Conocimientos

Python

Deep learning frameworks

Mathematics

Research leadership

Communication

Educación

PhD or MSc in Computer Science / AI / ML

Herramientas

TensorFlow

PyTorch

AWS

GCP

Azure

Descripción del empleo

Placements24 in Stellenbosch, Western Cape, is seeking a Senior AI Research Scientist to drive generative AI research and development. You will design, implement, and evaluate cutting-edge models, including diffusion models and large language models, and collaborate with engineers to bring prototypes to production.

The ideal candidate holds a PhD or MSc in a quantitative field, has a strong publication record, and excels in Python and DL frameworks.