Machine Learning Research Engineer, Machine Translation

Requirements

  • Experience in machine learning and NLP including model training, inference, Large Language Models and neural machine translation, language modeling, sequence-to-sequence models, etc.
  • Experience developing AI/ML systems at scale in production or in high-impact research environments.
  • Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow.

Nice to Haves

  • Passionate about machine translation, large language model and natural language processing.
  • Proficiency in key language technologies, including machine translation, large language models, and natural language processing.
  • The ability to formulate research problems, design, experiment, and implement solutions in programming languages such as C/C++, Java, Python, and Bash scripting.
  • The design and deployment of real-world, large-scale, user-facing machine translation or large language model systems.
  • Strong spoken and written communication skills.

What You'll Be Doing

  • Contributing to the development of core machine translation technology and large language model technologies.
  • Researching state-of-the-art approaches to machine translation and multilingual large language models.
  • Investigating novel modeling and learning approaches and evaluation methods.
  • Collaborating with a diverse range of language technologies to address real-world challenges.
AI Summary ✨

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