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).
Experience in developing machine translation, speech recognition, or natural language processing systems.
Proficiency in large-scale data processing (Spark, Dask, or equivalent) and data management/analytics.
Excellent communication skills, team player, and ability to manage complex processes across multiple stakeholders with a motivation to create exceptional products for Apple’s customers.
Preferred Qualifications
Proven experience in software engineering, with a focus on developing robust applications.
Familiarity with deep learning and neural machine translation is a plus.
Experience in distributed cloud computing environments (GCP, AWS) is a plus.
