AI/ML - Machine Learning Research Engineer, Machine Translation

Apple Inc.; Aachen; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company is looking for a Machine Learning Research Engineer in Aachen, Germany. You will contribute to the development of next-generation machine translation technology and collaborate on applied research. Candidates should have strong skills in machine learning and natural language processing, with experience in developing AI/ML systems. Join us to advance multilingual solutions across the ecosystem.

Qualifikationen

• Experience in machine learning and NLP including model training, inference, and sequence-to-sequence models.
• Experience developing AI/ML systems at scale in production or high-impact environments.
• Knowledge of common deep learning toolkits.

Aufgaben

• Investigate novel modeling and learning approaches in Machine Translation.
• Collaborate with a diverse range of language technologies.
• Contribute to the advancement of LLM and MT technology.

Kenntnisse

Machine Learning

Natural Language Processing

Deep Learning Toolkits (JAX, PyTorch, Tensorflow)

Programming (C/C++, Java, Python, Bash)

Jobbeschreibung

AI/ML - Machine Learning Research Engineer, Machine Translation

Aachen, North Rhine-Westphalia, Germany Machine Learning and AI

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.

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.

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.