Join our team!
Are you excited about using cutting-edge artificial intelligence to transform an old, inefficient industry? Do you want to be part of a fast-growing company and also make a social impact to improve the world through data science? Amplified is a rapidly growing technology company. We’re actively hiring for multiple positions and looking for people as passionate as we are about fixing a broken patent system and democratizing innovation.
Despite massive advances in technology patent work has hardly changed since the industrial revolution. At Amplified we are applying the latest research in deep learning to map the world’s patents. We use this to make invention fairer and simpler - simplifying patents and empowering R&D with data-driven insights. If you’re interested in learning more about joining our cause to change how the world innovates please send your CV and a short note to email@example.com. We’d love to hear your thoughts about our mission and why it’s of interest to you as well as which positions you’d like to apply for.
Data is the foundation of everything we do. As a senior data engineer you’ll have authority (and responsibility) of designing and maintaining infrastructure for collecting, storing, processing, and analyzing terabyte-scale sets of data including large document corpora, metadata, and application data.
Your role will be to help push the boundaries of deep learning & NLP by taking full advantage of the large corpus of global patent data we have. Our data covers multiple languages and includes a wealth of metadata. As a data scientist you will both conduct research in cutting-edge AI and apply that research to production scale data.
The Director of Engineering will lead engineering for our enterprise SaaS solution. We are looking for someone with experience leading teams and scaling SaaS applications who can build and manage a team of engineers for an AI-first product. You will report directly to the Head of Product and CTO.
We are looking for a Front End Engineer to lead implementation of the client for our AI-powered SaaS application. The ideal candidate combines a passion for user experience with the engineering skills to handle tough challenges. Your role will primarily be building and implementing front end based on product features and design files. However you'll also work closely with the product and design teams on UI/UX to make our solution feel like magic.
We are looking for a Senior Full Stack Engineer to help lead the engineering efforts for our AI-powered SaaS application. Your role will be to work across the stack, solve hard problems, and collaborate on technology decisions. We are looking for someone to bring their experience building and scaling SaaS applications to help make our product exceptional.
We are looking for a Front End Engineer who is passionate about the intersection of UI/UX and data visualization. We’re excited about the opportunity to make a social impact and change an industry through data science and deep learning. Your role will be to develop features in our AI-powered SaaS app that leverage and display data for our clients in an intuitive and interactive way.
Tokyo, Melbourne, or San Francisco
We are looking for a Back End Engineer with a knack for solving tough problems to help build our AI-powered SaaS solution. We’re excited about the opportunity to make a social impact and change an industry through data science and deep learning. Your role will be to help build a robust and scalable enterprise SaaS solution. We are looking for someone who can bring their experience solving complex architectural and algorithmic problems to bear on making our product feel like magic.
We are looking for a Site Reliability Engineer to design the systems and processes that our engineers use to manage and deploy their software into production. We’re excited about the opportunity to make a social impact and change an industry through data science and deep learning. We are looking for someone with experience building and managing rock-solid infrastructure who can help foster a culture of DevOps.