Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Aug 5, 2026.
Join Arondite, a mission-focused company at the forefront of the AI revolution. As an AI Engineer, you will work on deploying AI/ML models in our software products and addressing the practical challenges of implementing AI-based systems. You will have the opportunity to shape the future of AI at Arondite and make a real impact in the world.
Missions
- Collaborating with customers to identify and understand their problems, and designing end-to-end AI solutions.
- Training, evaluating, testing, and productionizing robust and performant deep learning models to solve real-world challenges.
- Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI.
Profil recherché
- Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users- The ability to write clean and maintainable code in Python, Rust, C++ or Java
- Experience with frameworks such as PyTorch, Tensorflow or JAX
- A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms
- 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
- Masters degree (MSc, MEng, etc) in computer science, artificial intelligence, machine learning, robotics or a related engineering field
- Experience with synthetic data generation or simulation, or collection and management of large real-world datasets
- Created and optimised state-of-the-art AI models for resource-constrained hardware
- An understanding of different sensor modalities, their trade-offs, and relevant methods for processing their outputs to drive performance in challenging scenarios
- Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance
- Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI)
- PhD in computer vision, machine learning, robotics, or a related field

