Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for a

Full Stack Software Engineer

with experience in

Golang

and

Typescript.

As a Safe Intelligence Full Stack Software Engineer, you will:

Software development on Golang-based backend systems and Typescript-based front-end systems.Productise a Kubernetes-based cloud platform to provide high-availability, scalability and cost-efficient ML workflows.Work closely with the scientific and technical team to interface and containerise a PyTorch-based verification toolkit.Focus on API-first development to provide a feature-rich, versioned interface to support a Typescript user-interface and Python-based SDKs.Develop and maintain Infrastructure as Code and DevOps pipelines for delivering a reliable service and updates.Contribute to the design and implementation of a React-based User Interface designed to manage models, datasets, schedule queries and visualise verification results.

Strong ability in system programming using Golang. Including database (MongoDB) access patterns (OCC) and schema design, domain-driven architecture, concurrency (Go-routine patterns), integration and unit testing.Knowledge of JS/Typescript-based frontend development, ideally with expertise in React. Strong understanding of the DOM, component design, CSS and state management.Experience configuring and maintaining cloud infrastructure, including network infrastructure, compute, access control policies, load-balancers, public key infrastructure (PKI) and DNS. Ideally, experience with AWS and Terraform or similar IAC.Knowledge of DevOps and Git best practices. Experience automating version control, testing and release. Passionate about delivering software to realise safe AI solutions in line with client needs.Has a strong understanding of modern software engineering processes.Why Safe Intelligence is for you

:

We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover.

By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI.

Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. Compensation & Benefits

Safe Intelligence provides competitive compensation based on role and candidate experience. Mentoring, learning and development allowanceRegular team social and work eventsFlexible and generous holidays. Equality and Inclusion

Location & Office Culture

Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience.

Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety).

Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

ai.