Internship, Remote Possible Bayesian Modelling for

3 settimane fa

Lazio, Italia Confidenziale A tempo pieno

Translated is on a mission to make content in all languages accessible to everyone. We are a technology-powered professional translation provider.We focus on serving large businesses, startup and innovative companies that need to speed up and automate their globalization processes. Thanks to our innovative approach to language technology, we have been chosen by Google to create new services for flagship products such as YouTube and for the translation of apps published in the Google Play Store. Moreover, corporations like Microsoft, eBay, Airbnb use our technologies and services in their localization processes.

We partner with over 180000 professional translators, i.e. about a third of the translator workforce alive today. Our 140 clients range from the private person who needs their CV translated to the very big, like Google and Airbnb.

We have invested over 6 in R&D in the past years. Our EU FP7 project Matecatproduced the translation GUI which allows our translators to edit sentence translations without having to worry about document layout and formatting at all. WithModernMT, another H2020 project which won an accolade from the EU as one of the 3 best projects of the call, we developed our neural adaptive machine translation technology, which is available open-source on Github. Our research papers and more information about our research activity can be found on our website.

We use AI techniques in several places in our platform. Of course, machine translation is our core enabling technology. Beyond that, we use ML to deal with our massive pool of translators:
for instance, assigning an incoming translation job to the best qualified translator available is an algorithmic process which uses matches against the translator's job history, as well as past performance. We also need to rank translators for whom we have no performance data:
our algorithms produce estimates based on their CVs.

The project

We receive translationquality information in different forms:
corrections from reviewers on segments already translated, segment-level (grammar, translation, style) error flags, job-level performance grades. We need to infer some latent variables like translator performance (maybe conditional on the job category), the job's intrinsic difficulty, reviewer severity|lenience.

To represent priors and evidence, represent uncertainty, learn in a principled way from different sources of information, we have started working on the problem with hierarchical Bayesian modelling.Using probabilistic programming, e.g. Pymc3, PyStan, Tensorflow Edward, can we model our linguistic QA (quality assurance) processes, i.e. translation scoring, quality score prediction etc.

Do you think you can help us with this
If yes, write to us, and we'll build a project for your internship.

This internship is for you if...

you think thatbabies are born Bayesian:

- )

you like to quantify uncertainty using probability distributions, juggle with probabilistic graphical models, fix bugs in Pymc3 or Pystan

you have conducted Bayesian modelling projects before, preferably with human-generated data like in crowd sourcing or human assessment

you are familar with practical issues surrounding probabilistic modelling, MCMC|VI diagnostics, model criticism, choice of distributions, vectorization

Applying

Your internship

Your mentor will be Sbastien Bratires, our Director of AI.

As an intern you will receive a monthly allowance to cover your costs.

We will make sure you learn on the job, by helping you find and understand the scientific literature you need.

We will build in time for you to write up your internship report.

By the end of your internship, you should expect to have learnt about the AI|ML ecosystem, about future career opportunities, learnt how to pitch your project, and much more.

COVID-19:
Given the current circumstances, part or all of your internship might be remote. We prefer if you can be on site, but we can make work remotely too if need be.

Benefits and Perks

Competitive and exciting work environment. You will be surrounded by innovators and experts working at Pi Campus, a venture fund and startup ecosystem. Great environment to grow your skills.

We host regular tech and entrepreneurship talks and events, to which you can take part as a Pi Citizen.

Work hard and stay fit. In the campus you'll find a gym, a swimming pool, a personal trainer for spinning, TRX and pilates classes.

Company overview

Translated is widely recognised as the most innovative web-based translation company.

We focus on serving large businesses, startup and innovative companies that need to speed-up and automate their globalization processes. Thanks to our innovative approach to language technology, we have been chosen by Google to create new services for flagship products such as YouTube and for the translation of apps published in the Google Play Store. Moreover, corporations like Microsoft, eBay, Airbnb use our technologies and services in their localization processes.

Choose a career at Translated and enjoy an innovative international environment where challenging and interesting work is part of daily life.

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