Deep Learning Engineer

icon location Copenhagen, Denmark
icon company Uizard

Unverified relocation package Source: angel.co

About Uizard

Uizard is building the world-first AI able to understand user interfaces to automatically generate platform-specific computer code from a single UI image. We want to shortened the time it takes to turn an initial idea to a fully functional digital product.

Position

You will be joining a young and dynamic international team developing bleeding edge technology and shaping the future of app development. As a Deep Learning Engineer within our Machine Intelligence team you will conduct empirical research to design, implement, test, and deploy novel models and training algorithms.

Your qualification

  • BSc / MSc / PhD degree in a STEM field such as Computer Science, Information Technology, Mathematics or Statistics, or equivalent professional experience
  • Hands-on experience and strong theoretical understanding of one or more Deep Learning architectures (RNN, CNN, GAN, Attention, etc.), learning paradigms (SGD, Reinforcement Learning, Evolutionary and genetic algorithms), and applications of Deep Learning (Computer Vision, Natural Language Processing, Robotics, etc.)
  • Proficient in Python
  • Proficient with at least one popular symbolic math Deep Learning library (i.e. TensorFlow, PyTorch, Theano, Caffe)
  • Ability to efficiently implement theoretical concepts and reproduce results
  • Comfortable working with Unix-based systems
  • Read papers on arXiv for breakfast or while on the toilet
  • Have a sense of humor and strive for new experiences

Will be a plus

  • Contributions to open source projects
  • Research experience and publications to Machine Learning conferences (e.g. NIPS, ICML, ICLR, ACL) or related venues
  • Interest and/or experience in web/app design and development
  • Familiar with a cloud-based infrastructure such as AWS, Google Cloud, or others

What we offer

  • Top-notch engineering culture which thrives on learning and having fun solving hard problems
  • Opportunity to join a fast-growing startup
  • Significant responsibility and ownership over projects and technical decisions
  • Flexible working hours and possibility to work remotely
  • Freedom to release open-source software, publish papers, and present at conferences

Deep Learning Engineer

icon location Copenhagen, Denmark
icon company Uizard

Unverified relocation package Source: angel.co

About Uizard

Uizard is building the world-first AI able to understand user interfaces to automatically generate platform-specific computer code from a single UI image. We want to shortened the time it takes to turn an initial idea to a fully functional digital product.

Position

You will be joining a young and dynamic international team developing bleeding edge technology and shaping the future of app development. As a Deep Learning Engineer within our Machine Intelligence team you will conduct empirical research to design, implement, test, and deploy novel models and training algorithms.

Your qualification

  • BSc / MSc / PhD degree in a STEM field such as Computer Science, Information Technology, Mathematics or Statistics, or equivalent professional experience
  • Hands-on experience and strong theoretical understanding of one or more Deep Learning architectures (RNN, CNN, GAN, Attention, etc.), learning paradigms (SGD, Reinforcement Learning, Evolutionary and genetic algorithms), and applications of Deep Learning (Computer Vision, Natural Language Processing, Robotics, etc.)
  • Proficient in Python
  • Proficient with at least one popular symbolic math Deep Learning library (i.e. TensorFlow, PyTorch, Theano, Caffe)
  • Ability to efficiently implement theoretical concepts and reproduce results
  • Comfortable working with Unix-based systems
  • Read papers on arXiv for breakfast or while on the toilet
  • Have a sense of humor and strive for new experiences

Will be a plus

  • Contributions to open source projects
  • Research experience and publications to Machine Learning conferences (e.g. NIPS, ICML, ICLR, ACL) or related venues
  • Interest and/or experience in web/app design and development
  • Familiar with a cloud-based infrastructure such as AWS, Google Cloud, or others

What we offer

  • Top-notch engineering culture which thrives on learning and having fun solving hard problems
  • Opportunity to join a fast-growing startup
  • Significant responsibility and ownership over projects and technical decisions
  • Flexible working hours and possibility to work remotely
  • Freedom to release open-source software, publish papers, and present at conferences

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