Deployed AI Engineer

Who you are

• Masters degree (MSc, MEng, etc) in computer science, artificial intelligence, machine learning, robotics or a related engineering field
• 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding, multi-modal sensing, control and path planning, or vision-language understanding
• The ability to write clean and maintainable code in Python, Rust, C++ or Java
• Experience with frameworks such as PyTorch, Tensorflow or JAX
• Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users
• A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms
• PhD in computer vision, machine learning, robotics, or a related field
• Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI)
• Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance
• An understanding of different sensor modalities, their trade-offs, and relevant methods for processing their outputs to drive performance in challenging scenarios
• Created and optimised state-of-the-art AI models for resource-constrained hardware
• Experience with synthetic data generation or simulation, or collection and management of large real-world datasets

What the job involves

• Arondite is looking for Deployed AI Engineers to understand our customer's problems and implement solutions using AI. We want people who are excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team
• You will be working with AI/ML models and deploying them within our software products, both running in the cloud and on edge devices in the field. 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, evaluating, testing and productionising robust and performant deep learning models to solve real-world challenges
• Collaborating with other engineers to integrate models into our enterprise software product and resource-constrained hardware systems
• Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions
• Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI
• Building secure, robust solutions by adhering to coding standards throughout the development lifecycle

The application process

• CV submission with initial questions
• Introductory Teams call (30-45 mins)
• In-person technical interview (1-2 hours)
• Final interview with one of Arondite’s Founders (30 mins)

Benefits

• Highly competitive base salary and generous equity in tax-efficient EMI options.
• Free meals provided every day in the office, along with snacks and drinks
• Comprehensive health and dental insurance, and opt-in cover for dependants.
• 7 % employer pension contribution from day one.
• Unlimited, "Take What You Need" holiday policy.
• Relocation support if you're moving to London from elsewhere.