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Company Description
**About Ubisoft**
Ubisoft’s 20,000 team members, working across more than 30 countries around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences. Their commitment and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come. Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves. If you are excited about solving game-changing challenges, cutting edge technologies and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown.
**Ubisoft Bordeaux**
Founded in September 2017, Ubisoft Bordeaux works with passion on the biggest AAAA’s game in order to offer the best gaming experiences to our players. Today, the studio has more than 400 talents, from 15 different nationalities, who work on licenses such as Assassin's Creed, Beyond Good & Evil 2, plus other unannounced free-to-play games. We are also working on exciting technologies with the Anvil team, Online services teams and with La Forge who seek to validate the value of technological innovations.
**Job Description**:
Programming good bots in video games is still an open challenge. The usual way is to manually define a behavior tree that encodes the way the bot behaves together with the conditions that control when the agent has to switch from one behavior to another. This methodology has several drawbacks: it is very time consuming and limited to behaviors that we can code, resulting in unrealistic behaviors that decrease the quality of the games. Let us consider for instance that one wants to develop a bot in a first-person shooter that behaves ‘like a human’, this is very difficult to achieve with behavior trees since we don’t have a clear understanding of how humans are playing, and we are thus not able to mimic this behavior.
We propose to address this problem differently, by exploiting game traces captured when real players are playing the game. This internship aims at defining new methods able to discover realistic bots from data instead of being guided by some reward functions or prior information about the nature of the game.
As a second step, we expect to augment our methods with the ability to build a meaningful controllable space. Indeed, if learning a latent space of styles allows one to define different styles through different vectors in this space, it cannot be used to understand what are the style dimensions that we control. It thus makes these approaches difficult to use by designers that wants to define interesting behaviors from a gameplay perspective. To overcome this limit, we propose to enforce the model to map the latent space dimensions with meaningful information. As an example, one meaning full dimension is the play level of the bot which can be extracted directly from the dataset.
The internship will be executed using the set of tools developed in La Forge which include realistic multiplayer 3D games made specifically for research, large datasets of traces and learning algorithms deployed on GPU clusters.
**Qualifications**:
You are a last year student of an engineering school or a university research master;
You have solid knowledge in mathematics and computer science
You have skills in machine learning, deep learning, or reinforcement learning, and have mobilized them using suitable Python libraries
Your level of English allows you to work in an international team and to communicate easily with non-French speakers.Additional Information
**Process**:
- Phone Interview
- Interview(s) with our internal teams
- Final interview with the project manager
- At Ubisoft, you can come as you are. We embrace diversity in all its forms. We’re committed to fostering a work environment that is inclusive and respectful of all differences, we _value diversity at our company and do not discriminate on the basis of race, ethnicity, religion, gender, sexual orientation, age or disability status. All personal informations will be treated as confidential according to the Employment Equity act_
