Summary Posted: Jul 9, 2024 Weekly Hours: 40 Role Number: 200558768 Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is working on internationalizing generative models to redefine user interaction for the users all over the world. This work presents unique challenges, and we are dedicated to finding innovative solutions for various international languages and building pioneering NLP models that work offline.
Our efforts include developing on-device NLP solutions like tokenization and Chinese and Japanese conversion, enhancing the system experience for global customers. If you are passionate about delivering the best user experiences to a worldwide audience, join our ambitious and collaborative Input Experience Internationalization team in Software Engineering. Description Description Our mission is to make the input experience, a key pillar of Apple Intelligence, more inclusive and accessible for everyone, regardless of the languages they use or their background! With your ML expertise, engineering passion, and programming skills, you will:
Work on language expansion of a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc.
Apply NLP techniques and linguistic knowledge to data engineering and ML training to deliver the best input experience to Apple customers
Seek scalable and innovative approaches for international languages to continually update the input experience
Collaborate with different teams — such as NLP, Localization, SIML, AIML, Human Interface, etc. — to solve both design and engineering challenges and ensure that the next generation of experiences can reach all Apple customers. Minimum Qualifications Minimum Qualifications Proficiency in one of the East Asian languages (Chinese, Japanese, Korean, etc.) or Southeast Asian languages (Thai, Burmese, etc.) Strong fundamentals in ML and NLP algorithms including tokenization Strong programming and communication skills MS in Computer Science or a related field Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications Familiarity with tokenizer libraries and Unicode Experience with prompt engineering for international languages Understanding of data structures and common NLP algorithms Proficiency in a C-like dialect (Java, C, C++, Objective-C, Swift, etc.) Ph.D. or experience in the industry Education & Experience Education & Experience Additional Requirements Additional Requirements Pay & Benefits 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 $138,900 and $256,500, 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. More Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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