Senior AI Research Scientist - Generative Models

Placements24; Gqeberha; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Generous PTO

Professional development

Remote-friendly culture

Home-office support

Team virtual events

Job summary

Placements24 is seeking a Senior AI Research Scientist to drive frontier research in generative AI from a remote setup across South Africa. You will design and evaluate advanced AI models, publish findings, and mentor junior researchers while collaborating with cross-functional teams to integrate AI solutions.

The role emphasizes independent work, strong publication potential, and ongoing learning, supported by a vibrant remote-first culture and access to world-class compute resources.

Qualifications

• PhD or Master’s degree in Computer Science, AI, ML, or related field.
• Proven track record in generative AI research with publications or significant contributions.
• Strong knowledge of deep learning architectures and frameworks.
• Excellent Python programming and software development skills.

Responsibilities

• Conduct cutting-edge research in generative AI (GANs, VAEs, diffusion, LLMs).
• Design, implement and evaluate novel AI algorithms and models.
• Collaborate with cross-functional teams to integrate AI into products.
• Publish findings in top AI conferences/journals and mentor juniors.
• Stay updated on AI/ML advancements and maintain well-documented code.

Skills

Deep Learning

Python

Research

Remote collaboration

Problem solving

Communication

Education

PhD or MSc in CS/AI/ML

Tools

TensorFlow

PyTorch

Job description

About the Role

Our client, a leading innovator in artificial intelligence, is seeking a highly skilled and visionary Senior AI Research Scientist to join their groundbreaking team. This fully remote position offers the unique opportunity to work from anywhere in **South Africa**, focusing on the forefront of generative AI and machine learning. You will be instrumental in pushing the boundaries of what's possible, contributing to projects that have a significant impact on various industries. As a remote-first organization, we provide a collaborative and supportive virtual environment designed for maximum productivity and innovation, ensuring seamless communication and engagement regardless of your location. This role is ideal for a motivated individual passionate about AI research and development, eager to contribute to a dynamic and forward-thinking company.

Key Responsibilities

• Conduct cutting-edge research in generative AI, including but not limited to GANs, VAEs, diffusion models, and large language models.
• Design, implement, and evaluate novel AI algorithms and models.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and contribute to the overall technical direction of the AI division.
• Stay abreast of the latest advancements in AI and machine learning through continuous learning and exploration.
• Develop and maintain high-quality, well-documented code in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in generative AI, evidenced by publications or significant project contributions.
• Expertise in deep learning architectures and frameworks (TensorFlow, PyTorch).
• Strong programming skills in Python.
• Excellent understanding of statistical methods and mathematical foundations of AI.
• Ability to work independently and collaboratively in a remote setting.
• Exceptional problem-solving skills and a creative approach to research challenges.
• Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Experience with large-scale data processing and distributed computing is a plus.
• Familiarity with MLOps practices for model deployment and monitoring.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Generous paid time off and flexible working hours.
• Opportunities for professional development, including conference attendance and further training.
• Access to state-of-the-art computational resources and datasets.
• A vibrant and inclusive remote work culture that values innovation and collaboration.
• Support for home office setup and ongoing technology needs.
• Regular virtual team-building activities and social events.