Machine Learning Research Engineer, Machine Translation
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.