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Sr. Applied ML Engineer, Apple Services Localization Engineering

Apple
Full-time
On-site
Seattle, Washington, United States
Machine Learning
We build and develop the core machine translation models that power Localization across Services in an efficient and scalable manner. We work on a wide spectrum of approaches, including agentic workflows, foundation modeling, deep learning, model compression, transfer learning, federated learning, and more. We also build the systems that power Apple Music lyrics translations and lyrics transliterations (phonetic pronunciation). This position involves a wide variety of skills and innovation. This role offers a unique chance to work at the forefront of machine learning, where Localization meets state-of-the-art software development. IN THIS ROLE, YOU WILL: - Design and implement sophisticated machine translation models to optimize user experiences across Apple's ecosystem, including Apple Music, the App Store, Subscription services, and marketing campaigns. - Lead research and development initiatives, including LLM fine-tuning and the exploration of emerging AI technologies such as agentic workflows and RAG techniques. - Collaborate with cross-functional teams to translate business objectives into technical solutions. - Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions at huge scale. - Communicate findings and recommendations effectively to technical and non-technical audiences, including leadership and operations partners. - Contribute to the team's research goals by authoring publications and filing patents in alignment with Apple's innovation standards. - Mentor junior researchers and foster a culture of collaboration, innovation, and excellence within the team. Does this sound like you? Join our team!


  • BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of experience
  • Proficient programming skills in Python
  • Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch
  • Proven track record in training or deployment of large models or building large-scale distributed systems
  • Deep understanding of Deep Learning and Large Language Models (LLMs) Natural Language Processing


  • BS, MS or PhD in a quantitative field, including Computer Science, Math, Statistics, Physics, etc.
  • Experience with the ReAct pattern in agentic workflows and building LLM based agents


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 $139,500 and $258,100, 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. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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