Description

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This position requires a highly motivated person who wants to help us advance the understanding of multilingual capabilities of multimodal foundation models. You will be responsible for designing and running large-scale experiments, and for creating specialized training and evaluation datasets to study how multimodal foundation models acquire multilingual capabilities during training, as well as to devise training strategies that facilitate optimal multilingual transfer.The ideal candidate combines deep technical expertise in machine learning with a proven track record in multilinguality and/or multimodality, the ability to write high-quality code, work with large-scale systems and solve challenging problems independently. Strong interpersonal and collaboration skills are also essential.

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Minimum Qualifications

Currently working towards a PhD degree in Computer Science, Machine Learning or related technical field
Experience with foundation models (text, audio, or multimodal) and in-depth knowledge of the latest advancements in the multimodal domain
Hands-on experience with running large-scale experiments
Proficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX
Excellent interpersonal skills and ability to work in a team, as well as independently

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Preferred Qualifications

Experience with multilingual data and understanding of the complexities and tradeoffs involved when scaling to non-English languages
Hands-on experience with building and running large-scale data pipelines
Publication record in relevant conferences demonstrating ability to conduct innovative research in deep learning or a track record in applying deep learning techniques to products

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About the company

Apple

Company overview

Apple designs and sells consumer devices including iPhone, iPad, Mac, Apple Watch, and AirPods, and runs services such as the App Store, iCloud, Apple Music, and Apple TV+. Apple sells to consumers, businesses, schools, and developers, with a mix of hardware sales and recurring services revenue. Apple also runs a large global retail and customer support operation alongside engineering, operations, and corporate teams. Early-career hiring shows up most clearly through internships, student support programs, and entry routes in Apple Retail.

Locations and presence

Apple has a global footprint, anchored by corporate and engineering hubs such as Cupertino, plus offices and Apple Stores worldwide. Public reporting has described Apple asking corporate staff to work in the office at least three days a week, while other roles are explicitly remote, including Apple Support College Advisor roles that train and work from a home office using an iMac Apple provides.

Palpable Score

75.8

/ 100

Apple offers multiple real entry points for students and graduates, spanning internships, retail roles that accept applicants without prior tech experience, and the Apple Support College Program. The scores are held back by limited public outcomes reporting: Apple does not publish early-career conversion, promotion, or retention metrics, so long-term results are harder to verify.

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