Pullup Entertainment publishes games that push the boundaries of the medium, offering innovative concepts and unique experiences. This internship seeks a Machine Learning (ML) intern in computer vision to develop a tool for detecting graphical bugs in video game images and videos. The intern will research state-of-the-art methods, build a visual bug database, and design detection models. This role provides practical experience in applying ML to game development, directly impacting game quality and making the production process more reliable.

Must Have

• Final year Master's or engineering degree in computer science, mathematics, statistics, Machine Learning, or equivalent, ideally with a specialization in computer vision.
• Solid proficiency in Machine Learning and Python.
• Strong knowledge of computer vision libraries and frameworks: TensorFlow / PyTorch, OpenCV, scikit-image.
• Familiarity with main deep learning architectures: CNNs, YOLO, U-Net, ResNet.

Good to Have

• First experience in computer vision (internship or academic project).
• Prior experience with tools like Databricks, Git.
• Ability to work autonomously.
• Ability to popularize technical concepts.
• Rigor in work documentation.
• Strong interest in research and exploring new approaches.

Perks & Benefits

• Weekly language club
• Painting workshop every Friday lunchtime
• Monthly board game night
• Regular sports activities: volleyball, basketball, indoor soccer
• Video game activities
• Meal vouchers (10 euros/day, 100% covered)
• Full reimbursement of transport pass
• 1 day off per month
• 1 day of remote work per week

Job Description

At Pullup Entertainment, we publish games that push the boundaries of the medium.

Innovative concepts, alternative gameplay, unique universes: our editorial line attracts studios from all over the world and offers players unique experiences.

Pullup is looking for a Machine Learning (ML) intern in the field of computer vision to develop a tool for detecting graphical bugs in video game images and videos.

Within the R&D team, the intern will study the state of the art and apply existing methods to concrete cases.

This internship offers the opportunity to work on visual data from games in development, and to test ML techniques on concrete problems with a direct impact on game quality.

You will contribute to making the production process more reliable while gaining practical experience in applying Machine Learning to video games.

Missions:

1. Analyze the state of the art in anomaly/outlier detection on images and videos.

2. Participate in setting up an adequate database, containing only visual bugs likely to be detected by an ML approach.

3. Design and evaluate Proof-of-Concepts and prototypes of detection models.

4. Enable the specialization of models for specific games.

Job Requirements

What we expect from you:

• You are in the final year of a Master's or engineering degree in computer science, mathematics, statistics, Machine Learning or equivalent, ideally with a specialization in computer vision.
• A first experience in computer vision (internship or academic project) is a real plus.
• Solid proficiency in Machine Learning and Python.
• Very good knowledge of computer vision libraries and frameworks: TensorFlow / PyTorch, OpenCV, scikit-image.
• Familiarity with the main deep learning architectures: CNNs, YOLO, U-Net, ResNet, etc.
• Prior experience with tools such as Databricks, Git, … would be appreciated.

What people say about you:

• Ability to work autonomously.
• Ability to popularize technical concepts.
• Rigor in documenting work.
• Strong interest in research and exploring new approaches.

Why join us?

Joining our company means integrating into a stimulating, dynamic, and friendly environment, with many activities accessible to all:

• Weekly language club
• Painting workshop every Friday lunchtime
• Monthly board game night
• Regular sports activities: volleyball, basketball, indoor soccer
• And of course… Video Game activities!

What we offer you

START DATE March/April

• Compensation according to profile
• Meal Vouchers, 100% covered - 10 euros per worked day
• Full reimbursement of transport pass
• 1 day off offered per month spent in the company
• 1 day of remote work per week
• 6-month internship – End-of-studies internship (SFE)