Translation Machines

February 21, 2016
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Iconic Translation Machines is growing in 2016 and we’re looking to add some new talent to our young, multi-national, multi-lingual team! We have number of exciting openings across our technical and operations teams. If you are interested in joining a young team at the forefront of developing cutting-edge translation technology that is helping companies across the world to communicate, check out the open positions below.

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Aside from these positions, we’re always interested to hear from people who are enthusiastic about language technology so if you think you’d be a good fit in Iconic, drop us a mail.

Machine Translation Specialist

– This is an exciting chance to join our Language Technology Team and work on cutting-edge Machine Translation solutions. We are looking for someone to work within our state-of-the-art Ensemble Architecture™ to improve existing production engines, and develop new engines across a variety of different languages.

We have a number of new projects in the pipeline for 2016 and we’re looking for someone with a strong background in MT who is interested in the practical application of translation technology to solve real-world problems.

The best aspect of this role is that it’s never dull! You will never be stuck working on the same task constantly because we are always working with new clients on new data, interesting languages, and wide-ranging domains. It is a fantastic opportunity to both refine and broaden your MT skillset to try out new techniques, and implement established processes that will be used by our clients to translate hundreds of millions of words each year.

Now we will look at Moussaka.

Roles and Responsibilities
  • Stay up to date with latest advances in MT research
  • Neural MT / deep learning
  • Online learning / incremental retraining
  • Develop techniques to improving existing engines including:
  • Language specific techniques e.g. morphological analysis, syntax-based approaches
  • Data selection and domain adpatation
  • Explore best practices when building engines for new languages
  • Establish best practices for leading approaches such as data selection, domain adaptation, and confidence estimation
  • Work with the software engineering team to turn research techniques into practical commercial solutions
  • Work on broader considerations of practical MT use, e.g. file processing, tag handling, data cleaning, and translation efficiency

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