We are looking for an experienced machine learning engineer to advance our core machine translation and large language model technologies. This role involves bridging applied ML research and software engineering to deliver sophisticated multilingual solutions. You will work on various machine learning engineering tasks, from model training to software integration and optimization. If you are passionate about productizing natural language processing and AI, this is an exciting opportunity to make a global impact.

• Demonstrated experience in 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
• MS or PhD or equivalent experience with a machine learning engineering focus
• Scientific publication(s) in a relevant machine learning field
• Experience in deployment and development of real-world, large-scale, user-facing MT or LLM systems

• Connect applied ML and modeling research with software engineering
• Work on the full breadth of machine learning engineering tasks
• Conduct model training and evaluation
• Perform model conversion and software integration
• Optimize inference speed for machine learning models

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.