Job Description:
• Join Safe Sign Technologies, a cutting-edge legal technology start-up founded at the University of Cambridge.
• As an AI/LLM Engineer, you will work alongside a world-leading team, innovating and delivering best-in-class technologies, often in demanding conditions and against challenging deadlines.
• Responsibilities include LLM prompt engineering, LLM training & fine-tuning, experimentation analysis and presenting results, active study and keeping up with research literature, ability to work independently, and ability to work towards an agreed goal and meet demanding deadlines.
Requirements:
• Bachelor's degree in Computer Science, Engineering, Mathematics or related fields
• Ability to implement and verify state-of-the-art algorithms
• Experience running and managing experiments, analysing results and creating insights
• Proficiency in software development (Python, Github, Jupyter Notebooks, etc.)
• Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow)
• Experience with ML / LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.)
• Good problem-solving and communication skills
• Ability to work in a dynamic and fast-paced environment
• Ability to demonstrate passion and knowledge in terms of relevant research topics
• Experience solving complex technical problems
• Master's or PhD in NLP or Machine Learning (preferred)
• First author/lead author publications at leading AI and NLP conferences (such as EMNLP, ACL, ICLR, ICML, NeuRIPS) (preferred)
• Demonstrated projects where relevant expertise has been used for real problems (preferred)
• Several years of experience working in this field (preferred)
Benefits:
• Real ability to shape technical agenda and have a deep impact
• Mentorship and advice from top ML scientists (ex- or current DeepMind, Cambridge, UCL, Harvard)
• Fully remote working
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