Overview
Full Time
Skills
Artificial Intelligence
Human-computer Interaction
Research
Embedded Systems
IOS Development
OS X
Data Acquisition
Training
Evaluation
Translation
Python
C++
Java
Modeling
Natural Language Processing
Data Processing
Apache Spark
Data Management
Analytics
Management
Communication
Motivation
Software Engineering
Machine Learning (ML)
Cloud Computing
Google Cloud Platform
Google Cloud
Amazon Web Services
Job Details
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
Preferred Qualifications
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.
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
Preferred Qualifications
- 2+ years of experience in software engineering
- Experience in building large scale ML systems is a plus
- Distributed cloud computing experience (Google Cloud Platform, AWS) is a plus
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.