AI/ML - Machine Learning Research Engineer, Machine Translation

Apple • Cupertino, CA

90d

About The Position

Apple Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of core MT technology to allow our users to communicate across language barriers. Passionate about Natural Language Processing, Language Modeling and Machine Translation? Join us to bring the most advanced Machine Translation solution across the Apple ecosystem. 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.

Requirements

• 3+ year experience in machine learning and NLP including model training, inference 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.
• Passionate about machine translation, large language model and natural language processing.

Nice To Haves

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

What This Job Offers

• Number of Employees: 5,001-10,000 employees