LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development

We are looking for strong Machine Learning Applied Scientists and Research 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 experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).

Proven ability to define goals and deliver results when faced with uncertainty and real-world constraints in AI product development

Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models

Python coding 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 5+ years of experience, MSc and 3+ years of experience, or PhD and 1+ year of experience 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