The VCV-Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products.
DescriptionWe are looking for a strong ML applied scientist and engineer to build groundbreaking AI infrastructures to power the infrastructures that Apple in-house ML experts use every day to optimize models shipped on devices and servers for Apple Intelligence.
We are part of a collaborative group of software developers and deep learning authorities working in the area of neural network optimization, on-device inference, and model evaluation.
You will work with world-class talents in visualization, LLM training, on-device optimization, and ML tools/platforms.
You will develop reliable and scalable web services for ML developers: e.g., model optimization pipeline, effective ML dev workflow, infrastructure to serve internal service.
Minimum QualificationsExperience developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models.Software engineering skills in Python and general purpose system admin and infrastructure management abilities.History of applied research in neural network model life cycle or training or a related area application.Track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment.BS degree and 3+ years of proven experience.Preferred QualificationsPublication record at top AI/ML venues.Experience with LLM LoRA fine-tuning, neural network optimization (e.g.
quantization and compression).Experience with on-device/server scale deployment.Experience with languages like C/C++.Infrastructure management and debugging experience.Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities.PhD in related field.Apple is an equal opportunity employer that is committed to inclusion and diversity.
We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about your EEO rights as an applicant.
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