Direct message the job poster from Acceler8 Talent
Sarah Olivieri
Researcher in Tech Talent Acquisition | Building Cutting Edge Teams in Machine Learning
Are you driven by a zeal to propel the boundaries of AGI through pioneering, systems-focused machine learning research? Embark on our quest to revolutionize the next generation of compute platforms for AGI. We are at the forefront of crafting vertically integrated, full-stack solutions that synergize hardware and software to train and execute the largest ML workloads. We are seeking a dedicated Lead Machine Learning Researcher to join our vibrant and dynamic team.
Core Responsibilities:
Architect and refine large language models meticulously tailored for our cutting-edge hardware
Execute rigorous quality assessments to guarantee unparalleled performance metrics
Engineer and deploy scalable distributed infrastructure for both training and inference
Offer profound insights on hardware architecture from a comprehensive ML standpoint
Essential Qualifications:
Exceptional prowess in software engineering
Demonstrated expertise in training and fine-tuning advanced neural networks, with a particular focus on LLMs
Preferably, experience in optimizing neural networks for hardware efficiency, encompassing FLOPs, memory bandwidth, communication bandwidth, precision, parallel layout, and batch processing capabilities.
Critical Requirements:
The ML Research Lead must meet at least one of the following criteria, emphasized for its importance:
Lead experience in a large ML team, for instance, Google’s AdBrain
Equal-first author on a highly cited (>100 citations) ML research paper
Core contributor to a large-scale LLM pre-training model
Seniority level
Director
Employment type
Full-time
Job function
Research and Engineering
Industries
Computer Hardware Manufacturing and Software Development
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