About the role
TL;DR
Conduct foundational research to advance generative AI, LLMs, and multimodal systems.
- •As a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research.
- •Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure.
- •Key Responsibilities Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems Design, implement, and evaluate novel model architectures, training methods, and optimization techniques Collaborate with engineering teams to transition research prototypes into production-grade systems Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI Requirements Research background in Artificial Intelligence, Machine Learning, Physics, or similar field Experience solving analytical problems using analytic and quantitative approaches Experience communicating research to audiences with different backgrounds Experience coding in C/C++, Python, or other similar languages
Required skills
PythonC++LLMs
Nice-to-have skills
PyTorchTensorFlowJAX
Domain expertise
aideveloper-tools
Tech stack
PythonC++PyTorchTensorFlowJAXLLMs