Machine Learning Engineer

Apple • San Diego, CA

22h

About The Position

Join us as an ML Engineer and become the architect behind the data pipeline that power tomorrow's breakthrough Apple innovations. You will play the key role in data, the most important part that fuels the ML algorithms from conception to deployment. Working shoulder-to-shoulder with model teams, infra teams and evaluation, you'll drive the scalable data pipeline to deliver large scale of data with high quality in all aspects. Your contributions will directly shape product direction, unlock entirely new model capabilities, and define what's possible at Apple AI era.

Requirements

• BS with a minimum of 3 years relevant industry experience, or Master degree with certain time of relevant experience
• Strong experience in evaluating supervised, unsupervised, and deep learning models
• Hands-on experience working on large scale data curation pipeline for LLMs
• Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges
• Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow
• Strong communication skills and documentation skills in English, including the ability to write technical reports and present to non-technical audiences

Nice To Haves

• Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks
• Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques
• Experience evaluating generative models (e.g., text generation, image/video generation)
• Prior contributions to ML benchmarks or public evaluations
• Strong interpersonal skills

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level