Evaluation & Insights Engineer at Apple

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Analysis, Pandas, NumPy, Jupyter, Model Evaluation, Large Datasets, Qualitative Analysis, Quantitative Analysis, LLMs, Generative AI, NLP, Prompt Engineering, RAG Systems, Annotation Guidelines, Human-Centered AI

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Media Services. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms. DESCRIPTION We are looking for an Evaluation & Insights Engineer for the Human-Centered AI team to help evaluate and improve AI systems by combining data science, model behavior analysis, and qualitative insights. In this role, you will analyze AI outputs, develop evaluation frameworks, design qualitative, and translate findings into actionable improvements for product and engineering teams. This role blends deep technical expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross-functionally with the Engineering and Project Managers, Product, and Research teams to ensure that AI experience is reliable, safe, and aligned with human expectations. MINIMUM QUALIFICATIONS Bachelor’s or Master’s degree in Data Science, Computer Science, Linguistics, Cognitive Science, HCI, Psychology, or a related field and 5+ years of relevant job experience Proficiency in Python for data analysis (pandas, NumPy, Jupyter, etc.). Experience working with large datasets and designing model-evaluation pipelines, taxonomies, categorization schemes, or structured rating frameworks. Analytical Strength: Ability to interpret unstructured data (text, transcripts, user sessions) and stitch together qualitative and quantitative findings into actionable guidance PREFERRED QUALIFICATIONS Experience working directly with LLMs, generative AI systems, or NLP models. Familiarity with evaluations specific to AI quality, hallucination detection, or model alignment. Experience building internal tools, scripts, or dashboards for evaluation workflows. Familiarity with prompt engineering, RAG systems, or model fine-tuning. Experience evaluating LLMs, multimodal models, or other generative AI systems at scale. Expertise in designing annotation guidelines and managing large scale annotation projects Background in human factors, social science, or qualitative assessment methodologies.

Responsibilities

You will analyze AI model outputs and develop evaluation frameworks to ensure AI systems are reliable, safe, and aligned with human expectations. You will collaborate cross-functionally with engineering, product, and research teams to translate qualitative and quantitative findings into actionable product improvements.