As a Machine Learning Engineer, you will:
•Research and development of state of the art graphics and rendering algorithms for frameworks on desktop and mobile devices including AR and MR.
•New technology proposal ideas and proof of concept implementations of innovative ways, including both traditional and machine learning approaches, to overcome technical challenges and enhance user experience.
•Creation of new solutions for the next wave of outstanding products and services.

Skills and Qualifications
Required Skills
•A degree in Computer Science, Electronics, Mathematics, Engineering or any related discipline (an equivalent period of industry experience may be accepted).
•Expertise in Computer Graphics using APIs such as OpenGL, OpenGL ES, Vulkan or DirectX.
•Strong 3D maths and Linear algebra skills.
•Mesh manipulation algorithms (EG. Constructive Solid Geometry).
•Knowledge of advanced rendering techniques such as Global Illumination, Physically Based Rendering (PBS/PBR), Soft Shadows, Image-based Lighting, High Dynamic Range (HDR) rendering.
•Expertise in Shading languages like GLSL, HLSL, CG etc.
•Experience in Software Development, primarily using C++ and Python (C# and Java beneficial).
•Experience using Testing and Debugging tools and doing Performance profiling.
•Ability to document SW designs and clearly present complex algorithms and technical details.
•Excellent communication and team work, result-oriented attitude and proficiency in problem solving.

Desirable Skills
•Knowledge of Machine Learning libraries like TensorFlow, Caffe, PyTorch.
•Experience developing and prototyping with Unity or Unreal render engine.
•Experience of Android application development.
•Experience of using Augmented Reality frameworks like AR-Core and AR-Kit.
•Experience in modelling tools like Blender, Maya and 3D Max
•Experience of Animation techniques like skeletal animation, Blend-shapes, Inverse Kinematics.