Machine Learning Engineer, International Data Engineering

Key Skills

Aartificial intelligence, Framework, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow, UI design, UX design

Job Description

The Software Localization & Engineering team powers the tooling, features and processes used to create an exceptional localized experience for Apple’s international customers. We are responsible for the readiness and high quality of Apple features internationally across all of Apple’s products.

We are in search of a creative, motivated, and passionate technical leader who has a robust understanding of large language models (LLMs), generative AI, Natural Language Processing (NLP) and Machine Translation (MT). An ideal candidate has the ability to lead diverse cross-functional efforts to build the next generation of ML tooling, processes and end-user features for international locales. Strong engineering fundamentals and a passion for this area are required.

As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple’s products. We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Your duties include:

• Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment
• Helping define a scalable, data driven quality program to continuously improve ML based products and features globally
• Collaborating with translation, Localization quality, project management and engineering teams to develop and scale the approach with a focus on the end user and the product quality
• Developing and maintaining features, frameworks and tools to help facilitate the software translation process

Minimum Qualifications

• Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)
• Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging
• Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
• Strong programming skills in Python or other scripting languages

Preferred Qualifications

• Hands-on experience with handling large datasets and developing data analytics pipelines for natural language based products
• Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products
• Proficiency using open-source ML toolkits and frameworks (e.g. PyTorch, TensorFlow, OpenNMT)
• Experience in software Localization / internationalization
• Native-level foreign language skills in reading, writing and speaking
• Experience or curiosity in languages and culture, comfortable working cross-functionally and cross-culturally
• Published research in the field of Machine Learning or AI.

Pay & Benefits

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 $143,100 and $264,200, 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.