Back to jobs

AI / ML Intern (Paid Remote)

Riyadh Province, Riyadh, Saudi Arabia

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Stllr Network Inc.

What you’ll work on

Full posting

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.

  • Research, develop, and implement AI models for video generation, editing, and enhancement.

  • 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.

From the employer’s posting
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).
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.
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.

What you’ll bring

All qualifications

Core experience

  • Strong understanding of machine learning, deep learning, and computer vision concepts.
  • Excellent communication and collaboration abilities.
  • Hands-on experience with AI frameworks like TensorFlow, PyTorch, or similar.
  • Familiarity with video generation and editing techniques (generative models, video synthesis, editing tools).
  • Proficiency in Python and experience with libraries like OpenCV, FFmpeg.
  • Experience with AI-powered video editing tools (Runway ML, Descript, etc.).

Preferred experience

  • Knowledge of cloud platforms (AWS, GCP) and GPU-accelerated computing is a plus.
Qualification wording
Strong understanding of machine learning, deep learning, and computer vision concepts.
Excellent communication and collaboration abilities.
Hands-on experience with AI frameworks like TensorFlow, PyTorch, or similar.
Familiarity with video generation and editing techniques (generative models, video synthesis, editing tools).
Proficiency in Python and experience with libraries like OpenCV, FFmpeg.
Experience with AI-powered video editing tools (Runway ML, Descript, etc.).
Knowledge of cloud platforms (AWS, GCP) and GPU-accelerated computing is a plus.

Tools in this posting

  • Python
  • AWS
  • Google Cloud (GCP)
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- 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.
- 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.
- 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.

Job description

View original posting ↗

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!

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on stllr.freshteam.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Riyadh Province, Riyadh, Saudi Arabia

- 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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jun 3, 2026
Recorded sightings
41
Last seen by us
Oct 6, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.