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We are looking for a Machine Learning Engineer to join Gleechi's team in downtown Stockholm.At Gleechi, you will be part of pioneering work to solve one of the most challenging questions in the virtual reality industry: how to realize natural interactions between humans and computers in virtual environments. Natural interaction requires human-like perception and action, which poses complex yet exciting machine learning challenges that range from thorough understanding of 3D environments and objects, generating human-like motion and animation, to analyzing human interactive behaviors in VR in the next-generation VR-powered training games.We want you to take part in building a machine learning based animation system that will allow Gleechi to make the next big step on its path to becoming the standard solution for hand interaction in any virtual space, including virtual reality training, virtual reality games, and stroke rehabilitation.You will be part of our highly diverse and startup-minded team of VR developers, ML engineers, product engineers, and business heroes, and have the opportunity to join us in the accelerating stage of a startup that received a major funding to accelerate growth internationally. You will report directly to our CTO as a part of the team that keeps full responsibility of Gleechi’s interaction technology as a product.What You Will Be Doing:Design, research and develop new groundbreaking methods using deep-learning framework in the field of real-time animation.Write, optimize and test your methods in C++ with production code quality.Follow trends and state-of-the-art in some of the hottest technology areas of virtual reality, real-time animation and machine learning.Plan, communicate and share status updates together with your fellow colleagues as well as external clients.Work closely with other algorithm developers and machine learning engineers in the R&D team, creating synergies and using best practices.Skills & Requirements:Proficiency with cross-platform C++ and python programming.Proven experience developing complex machine learning algorithms.Solid knowledge of a variety of machine learning technologies e.g. Caffe, Tensorflow, Python, etc.MSc or PhD in Mathematics, Statistics, Computer Science, Robotics, Engineering, or other technical field.Strong sense, appreciation and interest of writing reusable code.Proficiency with version control systems such as Git.Clear communication skills (written and oral) and an ability to work effectively with cross functional teams.