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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Machine Learning Research Engineer, Machine Translation

Requirements

  • Experience in machine learning and NLP including model training, inference, Large Language Models, and neural machine translation
  • 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
  • Contributing to the advancement of LLM and MT technology to address real-world challenges

Perks and Benefits

  • Opportunity to work on the next generation of core machine translation and large language model technologies
  • Empower users to communicate seamlessly across language barriers
  • Collaborate on creating the most advanced multilingual solution across the Apple ecosystem
  • Work in a team focused on researching state-of-the-art approaches to Machine Translation and Multilingual Large Language Models
AI Summary ✨
Apple logo

Apple

Germany

Experience: Senior
Posted: January 15, 2026
Last seen: 5 minutes ago
Java
Python
machinelearning

Why we track Apple

Apple's EU engineering footprint is quieter than Google's or Meta's, but it's substantial. London, Munich, Cambridge, and Cork all have real teams. Cambridge in particular does chip and hardware work that's hard to find elsewhere in Europe.

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