Guided by our core values, we push the boundaries of applied artificial intelligence to design creative solutions for systemic problems. For example, we created a map of the world’s patent knowledge in order to empower inventors, attorneys, and patent offices with more accurate insight into the state of the art in any given field. As a result, our customers benefit from dramatic increases in efficiency and society benefits from a fairer system that promotes innovation instead of litigation. We’re a small team with ambitious goals. To achieve this, we need the flexibility and power to translate our ideas to software rapidly and correctly. We chose Elixir as the core of our stack because it offers speed, a simple but powerful concurrency model, and top notch tooling. Phoenix is the icing on the cake. It’s honestly fun to use, and it has helped us rapidly become industry leaders in performance. Even better, easy concurrency means we can integrate our machine learning services (written in Python, serving our own proprietary models) quickly and simply. On the front end, we love React and we love Apollo. With a large API surface due to the complexity of patents, we can rapidly develop components that only have the data we want without changing the back end APIs. We’re always forward looking, eager to use emerging best practices like storybook and styled-components so we can develop features our customers will enjoy more quickly.

At Amplified AI, we are a rapidly growing team dedicated to changing the way the world innovates. Our mission is as important as it is audacious. Advances in science and technology are the only opportunity to solve many of society's greatest threats, such as access to clean water, climate change, and antibiotic resistance. We're not sending humans to Mars (yet), but we are enabling the people building that technology to get there faster. We are a low-ego culture defined by trust, respect, and empathy. Work is egalitarian and informal but also fast-paced and pragmatic. We expect a lot from ourselves and, by extension, from each other. While we are excited about the potential our work has to make an impact in the world, we did not come for the glamour. So we keeping a low profile while furiously lining up the most interesting companies in the world as our early customers and building a world class team. We strive to make a positive impact on society and build excellent products while nurturing and enjoying our private lives. Our core values are compassion, diversity, and transparency. We are compassionate towards ourselves, our teammates, our product, and our customers. In practice, that means: Do what you say Own your mistakes Give others the benefit of the doubt Listen actively Ask for help Be proactive Be humble We value diversity and inclusion for many reasons. Our work impacts all kinds of people all over the planet from customers to colleagues. We want to work in a place we feel comfortable. We respect different perspectives and bringing diverse backgrounds to the table leads to better decision making and fewer blind spots. Transparency and communication is how we build trust with each other and our customers. It part of everything we do and is present in how we communicate and design product. We communicate frequently (but often asynchronously) primarily through writing.

Guided by our core values, we push the boundaries of applied artificial intelligence to design creative solutions for systemic problems. For example, we created a map of the world’s patent knowledge in order to empower inventors, attorneys, and patent offices with more accurate insight into the state of the art in any given field. As a result, our customers benefit from dramatic increases in efficiency and society benefits from a fairer system that promotes innovation instead of litigation. We’re a small team with ambitious goals. To achieve this, we need the flexibility and power to translate our ideas to software rapidly and correctly. We chose Elixir as the core of our stack because it offers speed, a simple but powerful concurrency model, and top notch tooling. Phoenix is the icing on the cake. It’s honestly fun to use, and it has helped us rapidly become industry leaders in performance. Even better, easy concurrency means we can integrate our machine learning services (written in Python, serving our own proprietary models) quickly and simply. On the front end, we love React and we love Apollo. With a large API surface due to the complexity of patents, we can rapidly develop components that only have the data we want without changing the back end APIs. We’re always forward looking, eager to use emerging best practices like storybook and styled-components so we can develop features our customers will enjoy more quickly.

We are looking for a Senior Developer to lead the engineering efforts for our AI-powered SaaS application. 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 build a robust and scalable enterprise SaaS solution. We are looking for someone to bring their experience leading teams and scaling SaaS applications to make our product excellent. Responsibilities: - Lead a team of developers building an enterprise SaaS product - Design and implement well-tested, performant, and scalable back-end services, with a Rails heart and a number of additional services - Help build our front end which is in Ember - Contribute to the iterative design of our microservices architecture and its implementation on Google Container Engine - Solve complex problems related to deployment of machine learning services, making our AI feel like magic to the end user - Help manage fast and reliable database infrastructure, primarily with Postgres - Ensure the security of our application through knowledge and implementation of best practices in cloud architecture - Manage our version control flow and CI/CD infrastructure - Monitor our test quality and coverage - Organise pair programming and other learning opportunities for your team Minimum Qualifications and Education Requirements: - BSc/BEng degree in computer science, mathematics, machine learning or equivalent - Strong Computer Science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval. - Experience leading a development team - Experience on a team that scaled a SaaS application - Demonstrable experience building well-documented, clearly versioned APIs, e.g. with Swagger - Experience with distributed systems and microservices architecture in production - Experience with cloud computing such as Google Cloud Platform, AWS, or similar on a professional project