Senior Language Engineer, Conversational Shopping Experience

3 weeks ago


London, Greater London, United Kingdom ENGINEERINGUK Full time
Senior Language Engineer, Conversational Shopping Experience

About the Role

We are seeking a highly skilled Senior Language Engineer to join our Conversational Shopping team. As a key member of our team, you will be responsible for driving efficiencies and innovation in our efforts to deliver a seamless, fluent, and multi-lingual experience for AI-assisted shopping.

Key Responsibilities

  1. Design and lead editorial data production/collection by defining scope with internal customer teams.
  2. Define clear editorial workflows (SOPs) to meet or exceed the quality bar.
  3. Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality.
  4. Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.
  5. Produce, process and manipulate different types of language data, analyze, and provide efficient solutions.
  6. Automate operations and perform data analysis using scripting language (e.g. Python).
  7. Be flexible in changes to conventions deployed in response to customers' requests and change workflows accordingly.

Requirements

  1. Bachelor's or Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.
  2. Strong Experience in Natural Language Processing, Machine Learning, or Large Language Models.
  3. Proficient in Python.
  4. Knowledge of Regex, SQL, MS Excel, Git.
  5. Ability to navigate a Unix terminal and use common command line tools.
  6. Willingness to support several projects at one time and to accept reprioritization as necessary.

Preferred Qualifications

  1. Master's Degree or PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related technical field.
  2. Proficient in French, German, Hindi, Italian, Spanish, or Japanese.
  3. Experience in data science and quantitative research.
  4. Experience with language annotation and other forms of data markup.
  5. Hands-on experience with machine learning and deep learning techniques in the fields of NLP and search.
  6. Experience with AWS services (S3, Sagemaker, ML language services, etc.).
  7. Knowledge of user experience concepts and methods.
  8. Familiarity with online retail (e-commerce).


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