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 aFull Stack Software Engineer,and we’re hoping it’s you! In this role, you’ll help architect, develop, and operate our cloud-based platform. The position requires a passion for science and engineering, paired with an ability to produce production-ready solutions and work closely with both product and research teams.

We’re looking forward to having you on board!

Responsibilities: As a Full Stack Software Engineer, you will:

• 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.
• Develop and contribute new features aligned with model versioning, dataset management, verification workflows and result/metric aggregations.
• 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. 
• Design and improve cloud architecture to support high-volume queuing, processing and monitoring of GPU workloads.
• Extend system support for integration with 3rd party ML-Ops solutions and existing client workflows.
• Take ownership in identifying, designing and engineering system improvements. 
• Promote industry best practices through knowledge sharing, collaboration and team mentoring.

Requirements: The technical requirements for the role are:

• Extensive 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. 
• Extensive experience developing production-grade RESTful APIs with an API-first approach. Ideally, familiarity with the OpenAPI specification and code generation toolsets.
• Experience with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, the operator pattern. Experience developing and containerising microservice applications.
• Knowledge of DevOps and Git best practices. Experience automating version control, testing and release. Preferably with GitHub Actions.
• 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.
• Team management and mentoring.

Additional beneficial experience includes:

• Experience with machine learning and MLOps Environments.
• Experience working with highly distributed systems and message queues, such as RabbitMQ, Kafka, or AWS SQS.

At a personal level we’re also looking for someone who is:

• Passionate about delivering software to realise safe AI solutions in line with client needs.
• Deeply technical and constantly in a state of learning.
• Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers and partners.
• Fearless in getting "hands-on" with technology and execution.
• Has a strong understanding of modern software engineering processes.
• Comfortable with ambiguity with a drive for clarity.
• Collaborative with and respectful of others on the team.
• Honest, straightforward, and caring about each other’s well-being.

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.

Grow with us!

If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. 

Compensation & Benefits

Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include:

• Stock option benefits 
• Mentoring, learning, and development allowance 
• Regular team social and work events 
• Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives.

Equality and Inclusion

We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. 

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!