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AI/ML - Machine Learning Research Engineer, Machine Translation

Develop and optimize large-scale multilingual machine translation models for Apple products
San Francisco, California, United States
Senior
$181,100 – 318,400 USD / year
3 days ago
Apple

Apple

A multinational technology company known for its consumer electronics, software, and online services, including the iPhone, iPad, and Mac computers.

AI/ML - Machine Learning Research Engineer, Machine Translation

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!

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 breadth 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

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.

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AI/ML - Machine Learning Research Engineer, Machine Translation
San Francisco, California, United States
$181,100 – 318,400 USD / year
Engineering
About Apple
A multinational technology company known for its consumer electronics, software, and online services, including the iPhone, iPad, and Mac computers.