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Jobs bei Apple in Spanien

Machine Learning Engineer, Global Siri

Apple Inc.

Barcelona
Vor Ort
EUR 60.000 - 80.000
Vor 30+ Tagen
Ich möchte über neue Stellenangebote bei Apple benachrichtigt werden.

Director de tienda

K-tuin Apple Premium Partner

Logroño
Vor Ort
EUR 30.000 - 50.000
Vor 30+ Tagen

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Machine Learning Engineer, Global Siri
Apple Inc.
Barcelona
Vor Ort
EUR 60.000 - 80.000
Vollzeit
Vor 30+ Tagen

Zusammenfassung

A leading technology company in Barcelona is seeking an ML Engineer to enhance the Siri user experience. You will innovate with language models, work on multilingual data, and build high-quality ML products. Ideal candidates have a strong background in LLMs, proficiency in Python, and excellent communication skills. Join us for a chance to work on cutting-edge technology in a collaborative environment.

Qualifikationen

  • Expertise in innovating with LLMs and knowledge of prompting and fine-tuning.
  • Experience with multilingual data and machine translation complexities.
  • Proficiency in Python and modern ML frameworks.

Aufgaben

  • Work on technology at the intersection of agents and multilinguality.
  • Define and experiment with prompt engineering strategies.
  • Build and ship ML-based products for Apple customers.

Kenntnisse

Expertise in innovating with LLMs
Experience with multilingual data
Proficiency in Python
Excellent interpersonal skills

Ausbildung

MS or PhD in Computer Science or related field

Tools

TensorFlow
PyTorch
JAX
Jobbeschreibung

Barcelona, Barcelona, Spain Software and Services

Description

In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As an ML engineer, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include:- Work on ground breaking technology at the intersection of agents & multilinguality- Understand how agentic LLMs learn capabilities across languages- Define and experiment with prompt engineering strategies to target specific internationalization challenges- Independently design and execute modeling experiments to validate training methodologies and model architectures- Develop mechanisms to automate data creation and data filtering across different languages- Devise automated approaches to evaluate the performance of agents across multiple languages- Build and ship ML based products at high quality for worldwide Apple customersWe're looking for a self-starting, upbeat individual with excellent written and communication skills, hardworking person who is a great teammate, but not afraid to question assumptions and take initiative. If you feel this is you, we'd love to hear from you.

Minimum Qualifications
  • Expertise in innovating with LLMs, in-depth knowledge of the latest advancements in the field and a deep understanding of LLM prompting and fine-tuning.
  • Experience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages.
  • Proficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX.
  • Excellent interpersonal skills; happy to work in a team as well as independently; can take and give feedback; can iterate on a solution in a collaborative environment.
Preferred Qualifications
  • MS or PhD or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning or related field
  • Experience with or strong interest in agents, tool-use, planning and multi-step reasoning
  • Experience with RAG, LLM Reasoning and LLM Agent and/or Machine Translation.
  • Experience shipping production grade ML or DL based applications.
  • Optionally experience with building on-device software and models.
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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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