Join Safe Sign Technologies, a cutting-edge legal technology start-up founded at the University of Cambridge. Safe Sign aims to democratise the law for all people, equipping consumers and SMEs with robust and reliable tools to navigate legal complexity. 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. Independent working, subject matter excellence and proactiveness are essential.
Responsibilities
- LLM prompt engineering (Instruction Tuning, Chain-of-thought, automated prompt Engineering)
- LLM training & fine-tuning (Parameter Efficient, Few-medium shot, )
- Experimentation
- Analysis and presenting results
- Active study and keeping up with research literature
- Ability to work independently
- Ability to work towards an agreed goal and meet demanding deadlines
Qualifications and experience
Bachelor's degree in Computer Science, Engineering, Mathematics or related fieldsAbility to implement and verify state-of-the-art algorithmsExperience running and managing experiments, analysing results and creating insightsProficiency in software development (Python, Github, Jupyer 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 skillsAbility to work in a dynamic and fast-paced environmentAbility to demonstrate passion and knowledge in terms of relevant research topicsExperience solving complex technical problemsQualifications and experience (preferred)
Master's or PhD in NLP or Machine LearningFirst author / lead author publications at leading AI and NLP conferences (such as EMNLP, ACL, ICLR, ICML, NeuRIPS)Demonstrated projects where relevant expertise has been used for real problemsSeveral years of experience working in this fieldSalary & Benefits
Up to $150k / year salaryReal ability to shape technical agenda and have a deep impactMentorship and advice from top ML scientists (ex- or current DeepMind, Cambridge, UCL, Harvard)Fully remote working