LLM Research Engineer: Model Optimization and Algorithms Development
Job Description
Summary
The VCV-Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products.
Description
We are looking for strong ML applied scientists and engineers to build ground breaking server-based and on-device large machine learning capabilities and emerging innovations. We are part of a collaborative group of software developers and deep learning authorities working in the area of neural network optimization and related algorithms. Successful candidates will have strong software engineering skills, meticulous machine learning background, and general expertise in machine learning model optimization.
Minimum Qualifications
- Experience on 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 optimization or training or a related area application.
- Proven 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 Qualifications
- Publication record at top AI/ML venues.
- Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS.
- Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C.
- Infrastructure management and debugging experience.
- Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms.
- Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities.
- PHD in related field.
Pay & Benefits
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