AILLM Engineer remote

Join Safe Sign Technologies a cuttingedge legal technology startup 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 worldleading team innovating and delivering bestinclass technologies often in demanding conditions and against challenging deadlines. Independent working subject matter excellence and proactiveness are essential.

Responsibilities

• LLM prompt engineering (Instruction Tuning Chainofthought automated prompt Engineering)
• LLM training & finetuning (Parameter Efficient Fewmedium 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

• Bachelors degree in Computer Science Engineering Mathematics or related fields
• Ability to implement and verify stateoftheart algorithms
• Experience running and managing experiments analysing results and creating insights
• Proficiency 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 problemsolving and communication skills
• Ability to work in a dynamic and fastpaced environment
• Ability to demonstrate passion and knowledge in terms of relevant research topics
• Experience solving complex technical problems

Qualifications and experience (preferred)

• Masters or PhD in NLP or Machine Learning
• First 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 problems
• Several years of experience working in this field

Salary & Benefits

• Up to $150k/year salary
• 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