Description Genie AI is a deep learning based software company with a mission to open source the law. We are disrupting the legal industry by changing the business model ground up. What Github did with open source code, Instagram and TikTok with entertainment, Airbnb with hospitality, and Uber with travel, Genie is doing with Legal contracts. We are building a community-based AI law platform. We have fully flexible working, meaning you can work remotely or in pre-paid co-working spaces of your choice. Apply now as applications close shortly. About Genie AI Welcome We’re a machine learning startup with a mission to enable everyone to draft quality legal documents - focused initially on midmarket businesses 70,000 companies use Genie AI today - we’ve been growing exponentially for 12 months straight We’re funded by the world’s top investors, with significant runway - and we’re growing the team We’ve collaborated with Oxford University and Imperial College London to co-author research papers on explainable AI According to Forbes, we're also rated one of the top 29 AI startups in the UK We're a Sunday Times Best Places to Work Award Winner 2024 We’re backed by top legal pedigree, from Lord Neuberger to representing the UK on multiple Ministry of Justice trade missions Our customers save on average £15,000 on legal fees per year with Genie Instead of paying a law firm, they can use our open sourced legal templates or create their own from scratch using our AI assistant Users can also ask our AI assistant any question, or get a red flag review in minutes, where it would have taken hours and cost thousands with a law firm These contain guidance from top lawyers, and intelligent insights as you draft This isn’t just a SaaS product - we’re redefining the business model of law If you’re excited to disrupt a £750bn industry and make history with us - apply below Our team & culture We are a team of 15 Genies split across product, engineering and business squads Our team have published papers & host regular paper clubs We love learning For example, we have regular knowledge sharing days & an unlimited budget for all tech, legal & business books We do a range of social events - from hiking to book club to cook-a-long sessions by zoom Ask us about our team culture - we have really worked on building a world class team Requirements About the role We’re looking for an analytical ML Research Scientist with a passion for making positive change and an interest in applying machine learning to law. You will work on industry-changing problems such as legal contract generation and review, essentially replicating the work of an experienced lawyer using machine learning You will work on advancing state of the art transformer models and generative ML, utilising libraries such as Hugging Face and considering parallelization and efficiency techniques such as quantization You will have access to massive scale proprietary legal datasets, as well as plenty of compute power, and the ability to publish academic papers if interested (we have previously published with Oxford University in EM NLP). You will primarily work in NLP, though potentially even in multi-modal learning in the broad area of “knowledge work” You will develop, train, validate and test a range of models, picking the best one for the job, as well as curate and maintain high quality datasets You will develop downstream tasks to fine-tune large scale transformer models, and build automated pipelines to evaluate and manage these models You will have access to a team of software engineers to help productionize your models, enabling you to focus on machine learning About you You aim to be the best in your field & don’t compromise on quality You are keen to work independently, as well as collaborate with a small, diverse team within an agile & scrum environment You are creatively curious, possess an innate inquisitiveness and a mathematical background You have experience with NLP (natural language processing) and Machine Learning (fundamentals and Deep Learning) either from a commercial background or from strong academic research (ideally with strong publication within these areas) You possess know-how in Machine Learning frameworks such as Tensor Flow, PyTorch You have strong knowledge of standard NLP libraries such as SpaCy and NLTK, transformer libraries such as Hugging Face You have working experience of training and inference of large scale models, including techniques such as parallelization, quantization, and utilisation of different cloud providers and cloud editors such as Google Colab to AWS Sagemaker or running remote cloud environments You have knowledge of how to maximise GPU / TPU usage for speed of training You possess architectural knowledge of deep neural nets, for example the self-attention mechanism of transformers, and ability to read and understand machine learning papers You are fluent in Python Interview process You will initially meet our Talent Acquisition Manager, Charlette followed by a Technical chat with one of our Co-Founders Nitish or Rafie. Thereafter you will complete a Technical challenge with a member of our ML team, finishing off with a Culture Interview with our Technical Lead, Daniele We look forward to meeting you & having fun throughout the interview process; please turn up as your authentic self & ask us about our Culture, Company events & Big Mission We can’t wait to meet you Benefits What do Genies get? Generous stock options - we want everyone to share in our success Employee benefits platform where you can get free plants, food deliveries, yoga, electronics, wellbeing sessions and more Private healthcare Unlimited budget for business, law, or technology books Regular meditation and wellbeing sessions Regular team lunches, dinners & strategy days Substantial equipment budget for you to set up a home working environment, including a top of the range laptop, monitor wireless keyboard, mouse & office chair Individual £500 L&D budget annually plus 5 days off to take part in any learning Unlimited holiday Fully flexible working Enhanced parental leave for both parents Cycle to work scheme Numerous guilds to join including Hiking Club, The Band, Gaming Club, Book Club & more At Genie, we’re passionate about what we do, and we’re committed to creating a diverse environment. Whilst we’re on the cutting edge of innovation, it’s all about the people. We embrace differences and hire based on merit, giving equal consideration to all applications, regardless of gender, background & race.