Machine Learning Research Engineer, Machine Translation

Requirements

• 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.

Nice to Haves

• 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.

What You'll Be Doing

• Investigating novel modeling and learning approaches and evaluation methods.
• Collaborating with a diverse range of language technologies and contributing to the advancement of LLM and MT technology to address real-world challenges.

Perks and Benefits

• Working on the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies.
• Opportunity to collaborate on creating the most advanced multilingual solution across the Apple ecosystem.