Genei.ioCentral London • hybrid remoteCompetitive Salary (+ EMI options) • full-time, permanentWhat we do at GeneiWe build AI systems that learn from human feedback. We offer this as a product to consumers and a service to businesses.QualificationsMinimum qualifications<ul><li>3-5 years experience with Typescript, React, GraphQL (NodeJS), and Python.</li><li>Ability to speak and write in English fluently.</li></ul>Preferred qualifications<ul><li>Bachelors degree in Computer Science, Engineering, Mathematics or equivalent.</li><li>Interest and ability to develop applications of natural language processing technology.</li><li>Previous experience building a Stripe integration for SaaS/consumer subscriptions with multiple currencies and plans, and usage-based pricing.</li><li>Previous experience developing rich text editors (Lexical) and insight into requirements of collaborative editing (OTs / CRDTs).</li></ul>About the jobAs a full-stack software engineer at Genei you’ll be developing an application of our next-generation natural language processing technology for the prosumer market. This includes features such as summarisation, paraphrasing, question answering, and neural search. In doing so you’ll enable professionals in academia and businesses to leverage these advances for increased research productivity.We're looking for engineers who bring fresh ideas from all areas, including natural language processing, information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, , UI design and mobile; the list goes on and is growing every day.Notes<ul><li>Develop applications of next-generation natural language processing technology developed by our machine learning team ⇒ help professionals in academia and businesses leverage these advances to be more productive</li><li>Small, cross-functional team ⇒ huge impact of individual contributions</li><li>Quick iteration speed, little management overhead ⇒ have your work be deployed instantly</li></ul>Genei aspires to be a company that reflects the diversity of our users. In addition to hiring talent, we are convinced that a diversity of ideas, viewpoints, and cultures contributes to the development of superior products.Responsibilities<ul><li>Design, develop, test, deploy, maintain, and improve our consumer offering.</li><li>Manage priorities, deadlines, and deliverables.</li><li>Identify ways for improving our software architecture and infrastructure.</li><li>Active involvement in and real influence on shaping product direction.</li></ul>Our stack<ul><li>Frontend<ul><li>React (Typescript)</li><li>React router 6</li><li>Apollo client</li><li>PDFTron PDF viewer</li><li>Lexical rich text editor</li><li>Dexie (IndexedDB)</li></ul></li><li>Backend<ul><li>GraphQL API (Typescript, Apollo Server)</li><li>Prisma ORM for Postgres</li><li>Stripe for subscriptions / billing</li><li>Python / NodeJS Lambdas for webpage and PDF processing<ul><li>See Trafilatura, Mercury parser, PyMuPDF</li></ul></li></ul></li><li>Infra<ul><li>Github monorepo</li><li>Docker containerisation</li><li>AWS CDK for CI/CD</li><li>AWS services<ul><li>Lambda, ECS Fargate, SQS, S3, Aurora</li></ul></li></ul></li></ul>

Senior Full Stack Engineer

About usAt Genei, we build AI systems that learn from human feedback. We’re a highly motivated and talented team of scientists and engineers building at the intersection of massive scale language modelling, reinforcement learning and AI alignment.Our consumer product, Genei.io, delivers state of the art search and summarisation natural language processing to over 4,000 students and researchers worldwide. As the users interact with the app, our online learning algorithms adapt to provide the user with the optimal experience. The algorithms we’ve developed have massive potential outside of our consumer app, and we’re starting to offer them as a service to businesses, allowing them to leverage their users to improve their AI capabilities over time.The roleWhilst the role is quite open ended and requires high levels of self motivation, a typical workflow might be:<ol><li>Read and understand the latest literature</li><li>Use this understanding to come up with novel ways to improve Genei’s ML</li><li>Design and run live experiments to test hypotheses</li><li>Transform the findings of these into production code and features</li></ol>What we’re looking forThe ideal candidate is someone who can demonstrate:<ul><li>A genuine passion for Genei’s research</li><li>The ability to set goals and work independently towards them</li></ul>We’d expect the following experience:<ul><li>3-5 years experience working with large scale deep learning models and transformers</li></ul>Strong candidates would have experience and interest in at least 1 of the following areas<ul><li>Reinforcement Learning applied to NLP</li><li>Large distributed language model training</li><li>Multimodal transformers on documents</li></ul>

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Senior Full Stack Engineer

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