Job Description

Locations

• Cupertino, California, United States 95014
• Pittsburgh, Pennsylvania, United States 15213
• Seattle, Washington, United States 98117

Salary

Skills Required

• Natural Language Processingintermediate
• Language Modelingintermediate
• Machine Translationintermediate
• applied researchintermediate
• modelingintermediate
• learning approachesintermediate
• evaluation methodsintermediate
• oral communication skillsintermediate
• written communication skillsintermediate
• team playerintermediate

Required Qualifications

• 3+ year experience in machine learning and NLP including model training, inference and neural machine translation, language modeling, sequence-to-sequence models, etc. (experience, 3 years)
• Experience developing AI/ML systems at scale in production or in high-impact research environments. (experience)
• Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow. (experience)
• Passionate about machine translation, large language model and natural language processing. (experience)

Preferred Qualifications

• Expertise in key language technologies including machine translation, large language (experience)
• model and natural language processing. (experience)
• Ability to formulate a research problem, design, experiment and implement solutions in (experience)
• C/C++/Java, Python, bash scripting, etc. (experience)
• Experience working with standard MT/NLP toolkits preferred, e.g. FairSeq, OpenNMT, etc. (experience)
• Design and deployment of real-world, large-scale, user-facing MT or LLM systems. (experience)
• Excellent spoken and written communication skills. (experience)

Responsibilities

• Machine Translation is a critical technology that enables connecting people across language barriers. The Apple MT organization is responsible for the R&D of state-of-the-art approaches to MT as well as applications of this technology (e.g., Translate app, Safari web page translation and System-wide translation).
• We are looking for research scientists and engineers passionate about applied research in the space of MT, investigating novel modeling and learning approaches and evaluation methods. As a member of the core modeling team, you will have the opportunity to work with a wide variety of language technologies and advance the edge of the MT technology to tackle real world problems.
• The successful candidate should have excellent oral and written communication skills and a team player. Track record of impactful contributions to the field of MT or related fields preferred for senior researchers.

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