AI/ML - Applied Research Engineer, Machine Translation
Apple
Role Number: 200617742-3337
Summary
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
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
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