Natural Language Processing-Jobs in Deutschland

Multilingual tasks particularly Machine Translation have advanced significantly due to the development of multilingual Large Language Models. The Apple MT organization is dedicated to researching state-of-the-art approaches to Machine Translation and Multilingual Large Language Models as well as applications of this technology. These applications include the Translate app Safari web page translation and system-wide are seeking research scientists and engineers with a passion for applied research in the field of Multilingual Large Language Models and Machine Translation. Your role will involve investigating novel modeling and learning approaches and evaluation methods. As a member of the core modeling team you will have the opportunity to collaborate with a diverse range of language technologies and contribute to the advancement of LLM and MT technology to address real-world ideal candidate should possess exceptional oral and written communication skills and demonstrate a collaborative approach. A track record of impactful contributions to the field of LLM MT or related disciplines is highly preferred for senior researchers.

• 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.
• 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.

Key Skills

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Employment Type : Full-Time

Experience : years

Vacancy : 1