We are seeking an experienced machine learning engineer to help bring the next generation of core machine translation (MT) technology and large language model (LLM) technologies into the hands of users all over the globe.
Our mission is to empower users to communicate seamlessly across language barriers and complete multilingual tasks with ease. Passionate about productizing Natural Language Processing, Language Modeling (LLMs) and Machine Translation? Join us to bring the most sophisticated Multilingual solution across the Apple ecosystem to our customers!
Description
We are responsible for a wide variety of language technologies related research and development activities. In this role we expect you to be the connection between applied ML / modeling research and software engineering. Depending on project needs and tasks, you will work on the full breath of machine learning engineering; all the way from model training, evaluation, through model conversion, to software integration and inference speed optimization!
To succeed, you will be an experienced problem solver with a strong machine learning focus - equally enthusiastic about new ML modeling techniques as about software implementations and optimizations. As well as a passion for bringing state-of-the-art machine learning and AI improvements into production use.
Minimum Qualifications
Demonstrated experience in helping delivering end-user facing ML driven products
In-depth development experience with C/C++ or similar languages
Knowledge and experience with machine learning techniques, including deep learning frameworks such as PyTorch, TensorFlow or Jax
Passionate about creating extraordinary products built on machine learning and AI
Preferred Qualifications
MS or PhD or equivalent experience with a machine learning (engineering) focus
Scientific publication(s) in a relevant machine learning field
Deployment and development of real-world, large-scale, user-facing MT or LLM systems.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
