Applied ML Engineer - Localisation & Release Engineering

Apple Inc.; Barcelona; Presencial; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A leading technology company in Barcelona is seeking an Applied ML Engineer for their Software Localisation team. The role involves designing and implementing localisation features, engaging with machine learning technologies, and collaborating with various teams to enhance the localised experience of Apple's software products. Ideal candidates will have a strong background in ML, particularly in LLMs and NLP, along with relevant programming skills. Competitive compensation and a dynamic work environment are offered.

Formación

• Experience with Machine Learning with emphasis on LLMs and NLP.
• Strong programming skills in Python, Swift, C or C++.

Responsabilidades

• Lead exploration and application of LLMs for data synthesis and translation.
• Translate research into high-quality systems for model localisation.
• Engage in all aspects of model development from ideation to deployment.
• Collaborate with various teams to develop solutions.
• Maintain features to facilitate data and model localisation.

Conocimientos

Machine Learning (ML)

Large Language Models (LLMs)

Natural Language Processing (NLP)

Python

Swift

C/C++

Educación

BS, MS or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or Machine Learning

Herramientas

PyTorch

TensorFlow

Descripción del empleo

Applied ML Engineer - Localisation & Release Engineering

Barcelona, Barcelona, Spain Software and Services

The Software Localisation team powers the tooling, features and processes used to create an exceptional localised experience for Apple’s international customers. We are responsible for localisation workflows, framework-level localisation support, localised OS features, and internal localisation tools used to create high quality experience across all of Apple’s software products around the world.

We are looking for a creative, motivated, and passionate engineer who will work cross-functionally and globally to deliver the next generation of ML tooling and Apple Intelligence features for international locales. This person will be a creative, motivated, passionate technical leader who has a robust understanding of large language models (LLMs), natural language processing (NLP) and Apple software.

Description

As an Applied ML Engineer in the Software Localisation team, you will join an extraordinary team of passionate machine learning engineers to design, implement and qualify localisation features, processes and tooling across a wide variety of Apple’s products. We are looking for an exceptional candidate to help architect the future of localising ML models. Your role is to ensure Apple can deliver world-class software products to millions of users around the world including Apple Intelligence features like Writing Tools and Genmoji.

Your duties include:

• Leading the exploration and application of Large Language Models (LLMs) for performing data synthesis and translation tasks
• Translating the latest research into high-quality systems and models that can be practically applied to further improve model localisation
• Actively engaging in all aspects of model development, from ideation, training, experimentation, evaluation to deployment
• Collaborating with translation, localisation quality, project management and engineering teams to develop and implement solutions
• Developing and maintaining features and tools to help facilitate the data and model localisation process

Minimum Qualifications

• Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)
• Strong programming skills in Python, Swift, C or C++ or other language

Preferred Qualifications

• BS, MS or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or Machine Learning
• Proven ability to comprehend, interpret, and apply cutting‑edge research into consumer‑oriented products
• Comprehensive knowledge and hands‑on experience with fine‑tuning approaches and training models
• Experience adapting pre‑trained LLMs for downstream tasks
• Proficiency using open‑source ML toolkits and frameworks (e.g. PyTorch, TensorFlow)
• Experience in software localisation / internationalisation
• Native‑level foreign language skills in reading, writing and speaking