About the Role

The Senior Applied Scientist will lead the development of novel algorithms and modeling techniques for Generative AI and multimodal Large Language Models. Responsibilities include scaling pre-training and post-training workflows, building efficient models, and influencing overall strategy at the intersection of engineering and applied science.

Key Responsibilities

• Lead development of novel algorithms and modeling techniques for GenAI
• Scale pre-training and post-training workflows for multimodal LLMs
• Build efficient models leveraging large-scale computing resources
• Investigate design approaches and prototype new technology
• Deliver results independently in a self-organizing Agile environment

Required Skills & Qualifications

Must Have:

• PhD or Master's degree with 5+ years of applied research experience
• 3+ years building machine learning models for business applications
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

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 peer-reviewed conferences or journals
• Experience with popular deep learning frameworks including PyTorch

Benefits & Perks

• Medical benefits
• Financial benefits
• Equity and sign-on payments possible
• Workplace accommodations for disabilities