We are creating Frever - The Future of Expression
Make an animated version of yourself, or who you want to be, and start expressing yourself. Create music videos, stories or vlogs. With the world’s first mobile 3D creation platform anything is possible.
Job Description
We have created 1000s of different assets, anything from environments, body animations, face animations, VFX, objects and music. We are now looking for master thesis student that can combine our library of assets in different combinations, with the goal of creating fun and aesthetically appealing 3D animated music videos.
Your responsibility is to integrate an existing open source machine learning model, write specific code for data collection and train the model of successful combinations of cameras movements, lenses, 3D environments, body animations and music segments.
What You’ll Do
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Research and use best practices of successful machine learning pattern recognition
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Suggest pro/cons of different ML models that can be used for the assignment
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Use granular data set from successful combinations of successful combinations of camera movements, lenses, 3D environments, body animations and music segments.
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The selected model will get detailed feedback (likes) from end users that will enhance the training of the model
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Deploy machine learning models on Amazon EC2 deep learning instances
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Write scripts that automatically selects assets from Frever PostgreSQL database on Amazon RDS and S3
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The goal of the master thesis will result in an end-to-end prototype that can be used for production
Who You Are
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Fluent in English
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Knowledge of Python
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A deep interest in machine learning
Bonus Points
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Experience with Amazon machine learning instances
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Experience with Unity and Knowledge of C#
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Experience within Vision and/or Recommendation Engine Machine Learning
What We Offer
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The opportunity to work with the latest technological tools within AR, Depth Camera, 3D rendering and Machine Learning
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The opportunity to quickly assume responsibility and get a steep learning curve as we are small, nimble and ambitious team that need to face new challenges constantly
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The opportunity to be part of building a global product from its very foundations and have true impact of its design and final result
Application Details
We will be reviewing applications and interviewing candidates continuously throughout the application period which runs from September 15 to November 30 2019. We highly welcome female applicants. To apply please email your cover letter and CV to: career@friendfactory.com
Location: Södermalm, Stockholm.
Start: As soon as possible
If you have any questions about the job, please email or call Erik Wahlberg (CEO) at erik@friendfactory.com +46 70 - 42 42 195