ML Engineer - Global Localization & Quality Automation

Lex; Cork; Presencial; EUR 75.000 - 110.000; Jornada completa

Descripción de la vacante

Apple is seeking an ML Engineer in Ireland to apply LLMs and machine learning to testing and releasing software for our international users.

You will collaborate with automation, localization, translators and project managers across multiple time zones to ship better software worldwide. The role includes building evaluation frameworks, refining prompts, and creating data pipelines to improve model performance.

Formación

• Experience building production applications on top of LLMs, including tool use, structured output or agentic designs.
• Hands-on experience with prompt engineering and systematic model evaluation, such as writing rubrics or graders and measuring precision and false-positive rates.
• Strong programming skills in Swift / Python, and experience building backends for ML applications.
• Ability to improve model behavior iteratively, based on measured results.

Responsabilidades

• Build evaluation frameworks, including benchmarks, ground-truth datasets and graders.
• Reduce the cost and latency of each run through better prompts, better design and the right model for each stage.
• Build feedback loops that turn confirmed errors into better prompts, classifiers or training data.
• Design LLM-based systems that carry out quality tasks and independently grade their own results, including adversarial grading approaches.
• Design classification pipelines that triage failures and separate real product issues from test or tooling problems.
• Build datasets to evaluate, train or fine-tune models.
• Write clean, reviewable code and keep a fast-moving codebase maintainable as it grows.

Conocimientos

LLM applications

Prompt engineering

Swift / Python

Iterative model improvement

Descripción del empleo

Apple is seeking an ML Engineer in Ireland to apply LLMs and machine learning to testing and releasing software for our international users.

You will collaborate with automation, localization, translators and project managers across multiple time zones to ship better software worldwide. The role includes building evaluation frameworks, refining prompts, and creating data pipelines to improve model performance.