Software Engineer, Natural Language Processing

You will be part of a team known for its industry–‐leading machine translation and translation automation systems for localizing software products, documentation, websites, and marketing assets. As such you will be responsible for ongoing development of our machine translation environment and other natural language processing technologies within the platform.

Responsibilities

Develop and integrate Moses–‐based MT engines in Autodesk’s translation platform.

Run regular analyses of raw and post–‐edited machine translation output. Improve analysis automation.

Use translator feedback and MT usage statistics to continuously improve MT quality.

Take part in the design and execution of MT productivity tests. Investigate options for running productivity tests under production conditions.

Participate in natural language technology research within Autodesk.

Implement new natural language technologies and solutions as required.

Evaluate, configure and maintain MT engines from external providers and develop process automations.

Company:
Autodesk

Qualifications:
Requirements

M.Sc. or M.A. in Computational Linguistics or Computer Science with a specialization in Natural anguage

Processing

Familiarity with the Moses SMT toolkit

Experience with object oriented programming in languages such as Java or C++

Experience manipulating large corpora

Ability to stay current with relevant technology trends and developments

Ability to collaborate and communicate effectively with local and remote team

Ability to quickly adapt to new situations and to learn new technologies

Strong analytical and problem–‐solving skills

Preferred qualifications and skills;

Knowledge of localization practices and tools

Experience with functional and reactive programming

Experience programming with Scala, Akka and Spray

Experience working with NoSQL and relational databases

Experience with research in the field of Computational Linguistics

Experience with Agile methodologies

Educational level:
Master Degree

How to apply:
Please mention NLP People as a source when applying

as: Computational Linguistics , Industry , Machine Translation , Master Degree , Natural Language Processing , NLP , Switzerland

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