About the Role

The Applied Scientist will work on pre-training methodologies for Generative AI models as part of the AGI team. Responsibilities include research on scaling laws, model architecture, optimization methods, and distributed training solutions. The role requires advanced education in CS/ML and experience with generative deep learning models.

Key Responsibilities

• Research scaling laws for GenAI models
• Develop hardware-informed efficient model architectures and low-precision training
• Design optimization methods, learning objectives, and curriculum design
• Work on distributed training methods and solutions
• Conduct AI-assisted research to advance GenAI capabilities

Required Skills & Qualifications

Must Have:

• PhD or Master's degree with 4+ years in CS, CE, ML or related field
• 1+ years building models for business applications
• Experience programming in Java, C++, Python or related language
• Experience with generative deep learning models (CNNs, GANs, VAEs, NF)

Nice to Have:

• PhD in Computer Science, Electrical Engineering, Mathematics or related field
• Strong experience with Generative AI technologies and Large Language Models
• Experience with patents or publications at top-tier conferences or journals

Benefits & Perks

• Competitive compensation ranging from $136,000 to $223,400 based on location
• Equity, sign-on payments, and other forms of compensation
• Full range of medical, financial, and other benefits
• Inclusive culture with disability accommodations