TL;DR
Applied Scientist (AI Engineering): Working on pre-training methodologies for Generative Artificial Intelligence (GenAI) models with an accent on scaling laws and hardware-informed efficient model architecture. Focus on optimization methods, learning objectives, curriculum design and deep learning theories on efficient hyperparameter search and self-supervised learning.
Location: USA, CA, Sunnyvale
Salary: 171,600.00 - 222,200.00 USD annually
Company
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
What you will do
- Work as an integral part of a team that has experience with GenAI models.
- Work on scaling laws, hardware-informed efficient model architecture, and low-precision training.
- Focus on optimization methods, learning objectives, and curriculum design.
- Apply deep learning theories on efficient hyperparameter search and self-supervised learning.
- Research learning objectives and reinforcement learning methods.
- Develop distributed training methods and solutions and AI-assisted research.
Requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- 1+ years of building models for business application experience.
- Experience programming in Java, C++, Python or related language.
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF.
Nice to have
- PhD in Computer Science, Electrical Engineering, Mathematics or related field.
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs).
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Experience with popular deep learning frameworks, including PyTorch.
Culture & Benefits
- Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage).
- 401(k) matching, paid time off, and parental leave.
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