3,239 jobs for "Data Engineer"

Language Engineer (Polish), Global Siri

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Posted on Oct 15

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Global Siri Engineer, Dutch

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Posted on Oct 15

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Language Engineer (Finnish), Global Siri

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Global Siri Engineer, Spanish

At Apple

Posted on Oct 15

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Language Engineer (Norwegian), Global Siri

At Apple

Posted on Oct 15

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Language Engineer (Danish), Global Siri

At Apple

Posted on Oct 15

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Language Engineer (Arabic), Global Siri

At Apple

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Posted on Oct 11

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SoC Power Spec Engineer

At Apple - Austin

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SoC Power Spec Engineer

At Apple - Austin

Posted on Oct 11

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SoC Power Spec Engineer

At Apple - Austin

Posted on Oct 11

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At DTCC - Hyderabad · Chennai

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Director Data Engineering

At Mastercard - Hyderabad

Posted on Nov 5

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Manager, Data Engineering

At Cargill - Bengaluru

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VP AI Data Engineering, Business Insurance

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Posted on Nov 3

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Manager, Software Engineering | Data & AI Platform

At Mastercard - Arlington

Posted on Oct 22

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Apple

Language Engineer (Polish), Global Siri

Posted 24 days ago

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Play a part in the next revolution of machine learning technology! Siri assists hundreds of millions of people, in dozens of languages, every day, and Global Siri is the team that teaches Siri each one of them.

We own the product end-to-end, from Speech Recognition and Natural Language Understanding through to Response. We are looking for an engineer with deep expertise in either Machine Learning or Software Engineering, and practical working knowledge of the other, to shape the future of Siri for Polish users.

Your work will range across multiple disciplines, including employing advanced Large Language Models (LLMs), adopting models for global markets, running data experiments, and engineering scalable software to deliver highly personalized, culturally relevant experiences for our customers.

Description
As a member of our dynamic and fast-paced group, you will play a key role in crafting innovative, end-to-end solutions that delight millions of customers across the globe. You will act as the technical anchor for the Polish market, leading work streams to design and implement large-scale ML and GenAI solutions that advance our customer experience.

This position sits squarely at the intersection of Machine Learning, Data, and Software Engineering. Whether you are a strong Software Engineer who has applied ML to production systems, or an ML expert with solid coding skills, you will leverage large language models (LLMs), agentic approaches to tasks, and data generation methods to build real-world systems.

You will work with partner teams across Apple, sharing your expertise and bringing architectural proposals that account for international market nuances, so that Siri feels genuinely native to Polish users.

Join us as we build the foundation of Siri AI for users around the world!

Preferred Qualifications
Hands-on experience with large language models: fine-tuning, prompt and context engineering, evaluation, and inference optimization, including agentic systems, tool calling, or retrieval-augmented generation.
Experience with speech technologies such as ASR, TTS, or pronunciation modeling.
Experience adapting models or products across languages and markets - multilingual and cross-lingual modeling, transfer learning, or low-resource settings.
Ability to formulate a research problem, design, experiment, implement and communicate solutions.
Product focus with a strong emphasis on end-user experience.
Experience writing software in Python, Swift, Objective-C, C++ or C; experience on Apple platforms preferred.
M.S, Ph.D. in Computer Science or a related field, or equivalent practical experience.

Minimum Qualifications
Professional-level fluency in Polish, with deep familiarity with the culture and idiom of Poland.
Experience in applying machine learning and NLP techniques to deliver products, with a solid understanding of ML concepts
Strong skills in software design and programming across different paradigms, including testing and maintainability, with experience contributing to large production code bases.
Experience working with data at scale, including building or curating datasets, analyzing results, and making data-driven decisions.

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Size: 10,000+ employees
Industry: Technology: Manufacturing

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