Arabic Language Engineer for Siri — ML/NLP Innovator

Apple; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

Apple is looking for a Language Engineer for Siri to enhance user experiences in Arabic. This role involves applying machine learning and natural language processing to improve Siri's communication capabilities.

As part of the Global Siri team, you will analyze user data, implement innovative solutions, and collaborate with teams across Apple, focusing on delivering exceptional end-user experiences.

The ideal candidate will be a native Arabic speaker with a strong software engineering background and experience in ML.

Formación

• Fluency in Arabic and cultural awareness.
• Experience with ML and NLP to deliver products.
• Strong programming skills and experience with large code bases.
• Data-driven decision-making ability for user experience improvements.

Responsabilidades

• Develop user experiences for Global Siri.
• Identify target areas for improvement through data analysis.
• Collaborate with teams to design innovations for global markets.
• Mentor colleagues and share expertise.

Conocimientos

Native Arabic speaker fluency

Experience applying ML and NLP techniques

Strong skills in object-oriented software design

Ability to analyze data

Proficiency in Python

Proficiency in Swift

Proficiency in Rust

Proficiency in Objective-C

Proficiency in C++

Proficiency in Go

Educación

M.Sc. in Computer Science or related field

Descripción del empleo

Apple is looking for a Language Engineer for Siri to enhance user experiences in Arabic. This role involves applying machine learning and natural language processing to improve Siri's communication capabilities.

As part of the Global Siri team, you will analyze user data, implement innovative solutions, and collaborate with teams across Apple, focusing on delivering exceptional end-user experiences.

The ideal candidate will be a native Arabic speaker with a strong software engineering background and experience in ML.