AI / ML Intern (Paid Remote)

Stllr Network; Riyad Al Khabra; Remote; SAR 55,800 - 89,280; Part time

Benefits offered by this job

Paid opportunity

Flexible work environment

Hands-on experience with cutting-edge AI technologies

Startup culture with visible impact

Job summary

A dynamic technology startup in Saudi Arabia is looking for a passionate Machine Learning / AI Intern. In this role, you will innovate in AI-driven video generation and editing, collaborating closely with leadership. The ideal candidate is pursuing a degree in related fields and has hands-on experience with AI frameworks. This fully remote opportunity offers a chance to shape the future of AI in creative applications, with potential for full-time roles based on performance.

Qualifications

• Strong understanding of machine learning, deep learning, and computer vision concepts.
• Hands-on experience with AI frameworks.
• Proficiency in Python with relevant libraries.

Responsibilities

• Research, develop, and implement AI models for video generation.
• Experiment with generative AI techniques.
• Collaborate with leadership for AI roadmap execution.

Skills

Machine learning

Deep learning

Computer vision

Python

TensorFlow

PyTorch

OpenCV

FFmpeg

Cloud platforms (AWS, GCP)

Education

Pursuing or recently completed degree in Computer Science, AI, or related field

Tools

TensorFlow

PyTorch

OpenCV

FFmpeg

Job description

Stllr Network is hiring! 🚀

Passionate about the creator economy and AI?
The team is in the midpoint of an exciting period of regional growth and expansion across the GCC and North Africa. Join us!

About the Role

Stllr Network is looking for a passionate Machine Learning / AI Intern to innovate in AI-driven video generation and editing while working directly with leadership. This is a unique opportunity to shape the future of AI in creative applications and push its boundaries in the Arab World.

Key Responsibilities

• Research, develop, and implement AI models for video generation, editing, and enhancement.
• Experiment with state-of-the-art generative AI techniques (GANs, diffusion models, neural rendering).
• Collaborate with leadership to define and execute the AI roadmap for video generation and editing.
• Optimize AI algorithms for performance, scalability, and real-time processing.
• Explore and apply computer vision techniques for scene understanding, object tracking, and video summarization.
• Stay updated with the latest advancements in AI, video generation, and editing technologies.
• Document and present research findings and technical developments to leadership.

Requirements

• Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong understanding of machine learning, deep learning, and computer vision concepts.
• Hands-on experience with AI frameworks like TensorFlow, PyTorch, or similar.
• Proficiency in Python and experience with libraries like OpenCV, FFmpeg.
• Knowledge of cloud platforms (AWS, GCP) and GPU-accelerated computing is a plus.
• Strong problem-solving skills and a creative mindset.

Bonus Points

• Excellent communication and collaboration abilities.
• Familiarity with video generation and editing techniques (generative models, video synthesis, editing tools).
• Experience with AI-powered video editing tools (Runway ML, Descript, etc.).
• Familiarity with 3D rendering, animation, or VR/AR technologies.
• Published research or projects in AI, video generation, or related fields.
• Experience with deploying machine learning models in production environments.

What We Offer

• Paid opportunity.
• Opportunity to work directly with leadership and make a meaningful impact on the future of AI at Stllr Network.
• Hands-on experience with cutting-edge AI technologies in video production.
• Fully remote and flexible work environment.
• Startup culture where your impact is directly visible.
• Potential for future full-time opportunities based on performance.

Application Deadline

Applications will be reviewed until the position is closed. Apply as soon as possible!

Join us in shaping the future of authentic video content in the Arab world!