516 jobs for "Machine Learning Evaluation Engineer"

Language Engineer (Arabic), Global Siri

At Apple

Posted on Oct 17

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Language Engineer (Norwegian), Global Siri

At Apple

Posted on Oct 17

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Global Siri Engineer, Dutch

At Apple

Posted on Oct 17

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Senior Manager, Data Science - Model Risk Office

At Capital One - Chicago · McLean

Posted on Oct 7

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Senior Associate, Data Scientist - Applied AI (Financial Services)

At Capital One - Plano · McLean

Posted on Oct 4

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Applied Researcher 4

At Capital One - New York · McLean

Posted on Oct 2

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AI Model and Agent Operation Project Intern (Business Integrity) - 2026 Start

At TikTok

Posted on Aug 3

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Operations Specialist (Red Team Evaluation) - TikTok Safety Products

At TikTok

Posted on Jun 3

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Machine Learning Engineer, Monetization Data Alignment

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Posted on May 26

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Staff Machine Learning Engineer, Assistance Engineering

At Airbnb - San Francisco

Posted on Jun 23

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Staff Machine Learning Engineer, Retrieval

At Reddit - Remote / Flexible

Posted on Sep 16

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Sr. Software Engineer, Computer Vision

At SpaceX - Hawthorne

Posted on Apr 21

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Staff Machine Learning Engineer - Unpublished R&D Product

At Riot Games - Los Angeles

Posted on Oct 9

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Machine Learning Engineer III

At Peloton - New York

Posted on Sep 1

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Senior Machine Learning Engineer, 3D Data

At Roblox - San Mateo

Posted on Sep 28

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Staff Machine Learning Engineer (Applied Modeling) - League of Legends

At Riot Games - Los Angeles

Posted on Jul 10

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Principal Machine Learning Engineer- LLM Fine-tuning and Optimization

At Airbnb

Posted on May 24

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Staff Machine Learning Engineer, AI Security

At Reddit - Remote / Flexible

Posted on Sep 15

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Senior Staff Machine Learning Engineer, Post Training

At Airbnb - Remote / Flexible

Posted on May 5

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Research Engineer – Machine Learning & Robotics

At Jumio - Lenexa

Posted on Jun 26

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Apple

Language Engineer (Arabic), Global Siri

SpainPosted 22 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 Arabic 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 Arabic 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 Arabic 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 Arabic, with deep familiarity with the culture and idiom of Arabic-speaking regions.
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.

About Apple

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Size: 10,000+ employees
Industry: Technology

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