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Colega AI

Machine Learning Intern (Computer Vision)

Early Applicant
  • 11 days ago
  • Be among the first 50 applicants

Job Description

About Us:

Colega AI is an early-stage startup building the first AI-Powered Social Media Manager for businesses that operates seamlessly on LINE Messenger. We are led by an experienced leadership team and backed by global investors, including SparkLabs Group and Miraise VC.

The Position:

We're seeking a Machine Learning Intern to join our team, focusing on image and video generation. You'll work directly with our core engineering team to develop and implement novel approaches to food-centric visual content generation.

Key Responsibilities:

Research and implement state-of-the-art image and video generation models.

Develop and optimize ML pipelines for food-specific visual content.

Build and improve data processing pipelines.

Contribute to the development of our core generative AI features.

Requirements:

Currently pursuing a degree in Computer Science or Machine Learning.

Strong Python programming skills.

Experience in computer vision, particularly in generative models (GANs, Diffusion Models, etc.).

Experience with deep learning frameworks (PyTorch preferred).

Understanding of modern computer vision architectures and techniques.

Preferred Qualifications:

Experience with image and video generation models.

Familiarity with MLOps and model deployment.

Previous work with content generation or editing systems.

Experience with large-scale data processing.

Contributions to open-source ML projects.

Why Join Colega AI

  • Work directly with repeat founders from both big tech and venture-backed startups from Silicon Valley.
  • This will be a paid internship.
  • Exposure to full ML product lifecycle and direct impact on product development.
  • Flexible remote work environment.
  • Possibility of full-time conversion.

IMPORTANT: Please don't contact us directly about this position. Should we find a fit, we will respond back accordingly.

More Info

Industry:Other

Function:technology

Job Type:Permanent Job

Date Posted: 13/11/2024

Job ID: 100268917

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Last Updated: 13-11-2024 10:59:20 PM
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