PythonPyTorchAIArtificial IntelligenceMachine LearningLLMLarge Language ModelsData Mining
About this role
Role Overview
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
Requirements
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
Tech Stack
Python
PyTorch
Benefits
Competitive salary
Healthcare contribution and inclusion in company pension scheme
Work laptop and phone
25 days annual leave (pro-rata) plus paid bank holidays
Expanding workforce with potential for career progression for top performers