filter by category

filter by type

Deep Learning Engineer (3D)
at ZEG.ai

go back to Developer Jobs
  • London
  • fulltime

ZEG.ai is a london-based, venture-backed startup working on fully automated generation of 3D content using deep learning and computer vision. We are building a unique technology from the ground up based on our expertise in machine learning, computer vision and augmented reality.

Our technology anticipates a massive growth in the demand for 3D content as we move away from 2D screens into immersive experiences in AR and VR, with already established commercial applications in e-commerce and gaming. ZEG.ai is funded by well-known, serial entrepreneurs with impressive backgrounds across artificial intelligence, blockchain, e-commerce, and augmented reality.

As a Deep Learning Engineer, you will be working with top scientists to develop state-of-the-art hybrid architectures and data pipelines for a range of 3D deep learning problems, including segmentation, reconstruction, texture synthesis, denoising, rendering, style transfer, object detection and information fusion. This is a great opportunity to join an exciting company at an early stage and create a deep impact across multiple industries. You will get to work with top scientists from Imperial/ UCL/ INRIA to push technology further. 



Requirements

  • Experience in designing custom deep learning models.
  • Proficiency in Python or C/C++, knowledge of the fundamentals of convolutional networks and experience working with at least one common architecture (GANs, ResNet, DenseNet, etc).
  • Proficiency with at least one of the general purpose deep learning frameworks (e.g., Keras, TensorFlow, Theanos, Caffe), comfortable with learning new frameworks.
  • Should be excited about early-stage startups and 3D; entrepreneurial, highly driven, willingness to challenge yourself and grow, comfortable with risk & uncertainty.

Plus

  • Experience working with 3D meshes, such as problems in object reconstruction, global parameterization (uv mapping), and establishing correspondences.
  • MSc or PhD in Computer Science or Applied Mathematics, ideally with a focus on deep learning, computer vision, machine learning and/or computational geometry
  • Experience in developing architectures for reinforcement learning.
  • Peer-reviewed publications in venues such as: CVPR, ICCV, ECCV, ICLR, NIPS, PAMI

Benefits

  • Play a foundational role at a well-funded startup with a ground-breaking 3D technology.
  • Join a driven, talented and passionate team tackling some of the most challenging and rewarding problems in computer vision with real commercial applications.

You need to be logged in to apply. Login or create an account.
Is this job ad fake? Report it!   


other jobs at ZEG.ai

fulltime UI Developer (ANGULAR) - No Recruiters at ZEG.ai in London
31-10-2019