AI Research Intern - Generative Models

Placements24; Upington; Hybrid; ZAR 221,000 - 441,000; Full time

Benefits offered by this job

Mentorship

Remote work flexibility

Stipend

Job summary

Placements24 is seeking an AI Research Intern for a cutting-edge lab focusing on Generative Models. You will work with leading researchers and gain hands-on experience with state-of-the-art techniques in text generation, image synthesis, and reinforcement learning in a fully remote setup.

You are a motivated student pursuing CS/ML with strong Python skills and familiarity with TensorFlow, PyTorch, or Keras.

Qualifications

• Pursuing or completing a degree in Computer Science, AI, ML or related field.
• Solid foundation in ML and deep learning concepts.
• Experience with Python and ML libraries (TensorFlow, PyTorch, Keras).
• Familiarity with generative models (GANs/VAEs/Transformers) is a plus.

Responsibilities

• Assist in research and development of novel generative AI models.
• Experiment with deep learning architectures for generation tasks.
• Collect, preprocess and analyze data for experiments.
• Evaluate model performance and contribute improvements.
• Collaborate with senior researchers and contribute to documentation.
• Stay updated with recent advances in generative AI.

Skills

ML fundamentals

Python + ML libs

Generative models

Education

Bachelor/Master/PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

Keras

Job description

About the Role

Our client, a cutting‑edge AI research lab, is offering an exciting opportunity for an AI Research Intern to join their dynamic team focused on Generative Models. This internship provides an unparalleled chance to contribute to groundbreaking research in areas such as text generation, image synthesis, and reinforcement learning. You will work alongside leading researchers and engineers, gaining hands‑on experience with state‑of‑the‑art AI techniques and tools. The ideal candidate is a highly motivated student with a strong academic background in computer science, machine learning, or a related field, and a passion for AI research. This role is fully remote, offering flexibility and the opportunity to collaborate with a global team, making it ideal for individuals based near or interested in contributing from the Upington, Northern Cape region, or elsewhere.

Key Responsibilities

• Assist in the research and development of novel generative AI models.
• Implement and experiment with various deep learning architectures for generative tasks.
• Collect, preprocess, and analyze data for research experiments.
• Evaluate the performance of generative models and contribute to improving their capabilities.
• Collaborate with senior researchers on specific research projects and contribute to documentation.
• Stay current with recent advancements in generative AI and related fields through literature review.
• Assist in preparing research findings for presentations and publications.
• Participate in team meetings and discussions, contributing fresh perspectives.
• Learn and apply best practices in AI research and development.
• Gain practical experience in a professional AI research environment.

Requirements

• Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Strong foundation in machine learning and deep learning concepts.
• Experience with Python and ML libraries such as TensorFlow, PyTorch, or Keras.
• Familiarity with generative model concepts (e.g., GANs, VAEs, Transformers) is a strong plus.
• Excellent analytical and problem‑solving skills.
• Ability to work independently and as part of a remote team.
• Strong written and verbal communication skills.
• Enthusiasm for AI research and a strong desire to learn.
• Access to a reliable internet connection and a suitable remote working environment.
• Previous research experience or relevant projects are beneficial.

Benefits

• This internship offers a competitive stipend and the invaluable opportunity to gain practical experience at the forefront of AI research.
• You will receive mentorship from experienced professionals and contribute to impactful projects.
• The fully remote nature of this internship provides significant flexibility, allowing you to manage your academic and personal commitments effectively.
• You will gain exposure to cutting‑edge technologies and methodologies in generative AI.
• This is an excellent stepping stone for a career in AI research and development, regardless of your geographical location, including those interested in opportunities connected to Upington, Northern Cape.