Machine Learning Research Engineer, Machine Translation

Apple; Aachen; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

A leading technology company in Aachen is hiring researchers for its Machine Translation team. You will engage in developing cutting-edge multilingual solutions, focusing on Natural Language Processing and Large Language Models. The role requires experience in machine learning and proficiency with deep learning toolkits like JAX and PyTorch. Ideal candidates are passionate about machine translation, capable of formulating research problems, and possess strong communication skills. Join us in creating innovative language technologies.

Qualifikationen

• Experience in machine learning and NLP including model training and inference.
• Experience developing AI/ML systems at scale.
• Knowledge of deep learning toolkits.

Aufgaben

• Investigate novel modeling and learning approaches.
• Collaborate with language technologies.
• Contribute to LLM and MT technology advancements.

Kenntnisse

Machine Learning

Natural Language Processing

Large Language Models

Model Training and Inference

Deep Learning Toolkits

Tools

JAX

PyTorch

TensorFlow

Jobbeschreibung

Summary

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.