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Machine Learning Research Engineer, Machine Translation

At Apple - Aachen

Posted on Oct 12

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Apple

Machine Learning Research Engineer, Machine Translation

Aachen, GermanyPosted 23 days ago

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The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and execute multilingual tasks with ease. If you are passionate about natural language processing, language modeling (LLMs), and machine translation, we invite you to join our team and collaborate on creating the most advanced multilingual solution across the Apple ecosystem.

Description
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 translation. We 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 challenges. An 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.

Preferred Qualifications
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.

Minimum Qualifications
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.

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