Carry out cutting-edge research to advance the science and technology of machine learning systems.
Design methods, tools, and infrastructure to push forward the state of the art in large language models.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Suggest, collect and synthesise requirements and create an effective feature roadmap.
Code deliverables in tandem with the engineering team.
Publish research results and contribute to research that impacts Meta product development.

2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
Programming experience in Python and hands-on experience with frameworks such as PyTorch.
Experience writing software and executing complex experiments involving large AI models and datasets.
Proven experience to translate insights into business recommendations
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Direct experience in generative AI and LLM research (preferred)
PhD degree or research focused Master's degree in ML areas (preferred)

Software Engineer, IC-4

Key skills