Machine Learning Research Engineer, Machine Translation

Apple Inc.; Aachen; Hybrid; EUR 120.000 - 170.000; Vollzeit

Zusammenfassung

Apple Inc. in Aachen, Germany, seeks a Machine Learning Research Engineer focusing on Machine Translation and multilingual LM technology. You will contribute to core MT and LLM research, exploring innovative modeling and evaluation methods across language tasks.

The role involves collaborating within the core modeling team and interfacing with diverse language technologies to push the boundaries of multilingual solutions across Apple ecosystem.

Qualifikationen

• Experience in ML and NLP including model training, inference, LLMs and neural MT.
• Experience developing AI/ML systems at scale in production or high-impact research.
• Knowledge of deep learning toolkits: JAX, PyTorch or TensorFlow.

Aufgaben

• Investigate novel modeling and learning approaches and evaluation methods.
• Collaborate with a range of language technologies to advance MT and LLM technology.

Kenntnisse

ML & NLP

LLMs & MT

DL Toolkits: JAX

Tools

PyTorch

TensorFlow

JAX

Jobbeschreibung

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.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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