
PULLUP ENTERTAINMENT - INTERNSHIP- INGENIEUR(E) MACHINE LEARNING - COMPUTER VISION (H/F/NB)
- Hybrid
- Paris, Île-de-France, France
- DATA
Pullup is looking for a Machine Learning (ML) intern specializing in computer vision to develop a tool for detecting graphical bugs in images and videos from video games.
Job description
At Pullup Entertainment, we publish games that push the boundaries of the medium.
Innovative concepts, alternative gameplay, and distinctive worlds—our editorial vision attracts studios from around the globe and offers players truly unique experiences.
Pullup is looking for a Machine Learning (ML) intern specializing in computer vision to develop a tool for detecting graphical bugs in images and videos from video games.
Within the R&D team, the intern will review the state of the art and apply existing methods to real-world scenarios.
This internship offers the opportunity to work with visual data from video games in development and to test ML techniques on concrete problems that have a direct impact on game quality.
You will help improve the reliability of the production process while gaining hands-on experience applying Machine Learning to video games.
Missions:
Analyze the state of the art in anomaly/outlier detection on images and videos.
Contribute to building a suitable dataset containing only visual bugs that can be detected through ML approaches.
Design and evaluate Proofs of Concept and prototype detection models.
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 degree or engineering program in computer science, mathematics, statistics, Machine Learning, or a related field, ideally with a specialization in computer vision.
Previous experience in computer vision (through an internship or academic project) is a strong plus.
Solid proficiency in Machine Learning and Python.
Strong knowledge of computer vision libraries and frameworks such as TensorFlow / PyTorch, OpenCV, scikit-image.
Familiarity with major deep learning architectures: CNNs, YOLO, U-Net, ResNet, etc.
Experience with tools such as Databricks, Git, etc., would be appreciated.
What People Say About You
You are capable of working independently.
You can explain technical concepts clearly.
You are rigorous in documenting your work.
You have a strong interest in research and exploring new approaches.
Why Join Us?
Joining our company means becoming part of a stimulating, dynamic, and friendly environment, with many activities open to everyone:
Weekly language club
Painting workshop every Friday at lunchtime
Monthly board game night
Regular sports activities: volleyball, basketball, indoor football
And of course… plenty of video game activities!
What We Offer :
Start date: March/April
Compensation: 850 euros gross per month
Meal vouchers fully covered (10€ per working day)
100% reimbursement of public transportation costs
1 additional day off per month spent in the company
1 remote-working day per week
6-month full-time internship – Final Year Internship (SFE)
or
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