AI/ML - Applied Research Engineer, Machine Translation
Apple
AI/ML - Applied Research Engineer, Machine Translation
Seattle,Washington,United States
Machine Learning and AI
Would you like to play a critical part in the next revolution of human-computer interaction? The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an Applied Research Engineer who is passionate about developing and optimizing solutions to create, maintain and ship scalable and high-quality model assets for a multitude of languages that power Apple's Machine Translation products such as Translate App, Safari web translation and system-wide translation.
**Description**
Apple's Machine Translation is embedded into several products across the iOS, iPadOS, macOS and watchOS ecosystems: from Translate App that is used to communicate across different languages to system-wide translation that allows you to quickly translate any highlighted text into an ever growing list of languages. Your role will be instrumental in applying and improving data and model training pipelines that allow for rapid expansion into supporting new languages and raising the bar for translation quality in shipped models. You will be part of a motivated and dynamic team that is responsible for managing data acquisition projects, training neural machine translation models, and driving evaluation criteria that help to establish an unprecedented translation quality in all of Apple's MT products.
**Minimum Qualifications**
+ Strong programming and software engineering skills (Python, C++, Java, or equivalent)
+ Good ML knowledge and modeling expertise in the context of NLP applications such as LLM, MT, ASR etc
+ Experience with large scale data processing (Spark, or equivalent), data management and analytics
+ Ability to manage complex processes across multiple stakeholders
+ Excellent communication skills and team player
+ Motivation to build the best products for Apple's customers
**Key Qualifications**
**Preferred Qualifications**
+ 2+ years of experience in software engineering
+ Experience in building large scale ML systems is a plus
+ Distributed cloud computing experience (GCP, AWS) is a plus
**Education & Experience**
**Additional Requirements**
**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 $135,400 and $250,600, 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 (https://www.apple.com/careers/us/benefits.html) 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.
+ 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)
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