AIML - Machine Learning Research

AppleCupertino, CA

About The Position

The Apple AFM Multilinguality (i18n) / Machine Translation team is seeking exceptional researchers and scientists to develop the next generation of Apple Foundation Models. These models aim to enable users to communicate across language barriers and perform multilingual tasks. The team focuses on Natural Language Processing, Large Language Modeling (LLMs), and Machine Translation, with the goal of integrating advanced multilingual solutions across the Apple ecosystem. The Apple MT organization is responsible for the research and development of state-of-the-art approaches to Machine Translation and Multilingual Large Language Models, as well as their applications in products like the Translate app, Safari web page translation, and system-wide translation. We are looking for research scientists and engineers passionate about applied research in Multilingual Large Language Models and Machine Translation, who will investigate novel modeling, learning approaches, and evaluation methods. As a member of the core modeling team, you will work with a wide variety of language technologies and advance LLM and MT technology to solve real-world problems. The successful candidate should possess excellent oral and written communication skills and be a team player. A track record of impactful contributions to the fields of LLM, MT, or related areas is preferred for senior researchers.

Requirements

  • 3+ years of experience in machine learning and NLP, including model training, inference, and neural machine translation, language modeling, sequence-to-sequence models.
  • Experience developing AI/ML systems at scale in production or in high-impact research environments.
  • Knowledge of common deep learning toolkits including JAX, PyTorch, or Tensorflow.
  • Passion for large language models, machine translation, and natural language processing.
  • Excellent oral and written communication skills.
  • Team player.

Nice To Haves

  • Expertise in key language technologies including machine translation, large language models, and natural language processing.
  • Ability to formulate a research problem, design, experiment, and implement solutions in Python, Bash, Java/C/C++.
  • Track record of impactful contributions to the field of LLM, MT or related fields (preferred for senior researchers).

Responsibilities

  • Develop the next generation of Apple Foundation Models for multilingual communication and tasks.
  • Conduct R&D of state-of-the-art approaches to Machine Translation and Multilingual Large Language Models.
  • Investigate novel modeling and learning approaches and evaluation methods.
  • Apply LLM and MT technology to solve real-world problems.
  • Work with a wide variety of language technologies.
  • Contribute to the design and deployment of real-world, large-scale, user-facing LLM or Machine Translation systems.
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