Arondite is a defence technology company building the foundational software and AI to power the autonomous age. Our aim is to revolutionise the way organisations collaborate with sensors, robots and autonomous systems and use the data they generate. We are driven by our determination to help defend our collective democratic values and by our strong belief that an elite group of engineers can make a big difference. We are ambitious, well-funded and building for the long-term.
You will join Arondite at a pivotal moment in the company’s journey. Our company is being built by exceptional engineers - people who find high-impact and technically challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world’s hardest and most important problems.
You will have ownership and autonomy from Day One. There is no corporate ladder at Arondite. From your first day, you will directly influence the design, functionality, and direction of Arondite’s product offering. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition.
If you are motivated by our mission and if you want to be part of a growing team of outstanding people, then we want to hear from you.

REQUIREMENTS

Arondite is looking for an AI Research Engineer to understand our customer’s problems and implement solutions using AI.
You will be in developing AI/ML models and deploying them both within our core software product and to edge devices including drones and ground robots. The role will also encompass addressing the wider practicalities and challenges in implementing AI-based systems, including obtaining training data, addressing ethical concerns and explaining model behaviours.
As an early member of the AI team at Arondite, you will be able to shape how we exploit the AI revolution, both as part of products and to accelerate our internal processes.

• Working with customers to identify and understand their problems
• Designing end-to-end AI solutions from the sensor to the user interface
• Training and evaluating robust and performant deep learning models to solve real-world challenges
• Integrating models into our enterprise software product and into resource-constrained hardware systems
• Collaborating closely with hardware and software engineers to enable growing autonomy in the most demanding environments
• Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions