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AI/ML Intern
Location
Middle East
Posted
70 days ago
Salary
0
Seniority
Entry Level
Job Description
AI/ML Intern
Stllr Network
• 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
Job 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
- 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
Benefits
- 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
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