Machine Translation Engineer (m/f/d) at lengoo (Berlin, Germany)

YOUR MISSION

  • You keep pushing the forefront of innovation in research Neural Machine Translation
  • You redefine processes in an industry to be AI-first
  • You empower professional translators to focus on truly complex problem solving
  • You apply NMT to serve the end customer in the best possible way

YOUR RESPONSIBILITIES

  • Research and develop in the field of Machine Translation and NLP, including:
    • domain adaptation,
    • model distillation,
    • model quantization,
    • terminology integration,
    • low-resource MT,
    • data anonymization,
    • attention output interpretability
  • Evaluate and integrate new state of the art strategies for production purposes
  • Further develop pipeline automation and help define our translation continuous delivery system
  • Challenge and improve current research state by participating and submitting papers to conferences (ACL, EMNLP, EAMT, etc)
  • Discover new products and services via research findings
  • Helping us to select the best talent to join us in our MT Team (code reviews and participation in interviews)
  • Onboard new colleagues

YOUR PROFILE

  • You have 2+ years of experience in the area of NLP, MT or any type of seq2seq modeling
  • You have solid programming skills in Python
  • You hold a Bachelor's or Master's degree in a in Computer Science, Mathematics, Statistics or a related field or equivalent practical experience
  • You have solid communication skills and experience interacting with stakeholders from a multidisciplinary team
  • You are fluent in English and feel comfortable in a fast-paced and international environment
  • You are cool, collected and have a sense of humor
  • You are willing to relocate to Berlin, Germany

This is a plus

  • You have built ¬†and maintained ML applications in a business setting
  • You have been developing data preprocessing and training pipelines, leveraging tools like MLfLow, Airflow, Luigi, DVC
  • You have hands-on experience with PyTorch or TensorFlow
  • You have been developing and deploying applications in production with REST, Docker, Kubernetes
  • You feel comfortable in fast-paced and international environment

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