About Arondite

Arondite is a defence technology company building foundational software and AI to power the autonomous age. Our goal is to revolutionise how organisations collaborate with sensors, robots, and autonomous systems, leveraging the data they generate. We are driven by our commitment to defend democratic values and believe that a team of elite engineers can make a significant impact. We are ambitious, well-funded, and focused on long-term growth.You will join Arondite at a pivotal moment.

Our team is composed of exceptional engineers who thrive on high-impact, technically challenging work and delivering outsized results. You will collaborate with brilliant minds to address some of the world''s most pressing problems.You will have ownership and autonomy from Day One.

There is no traditional corporate ladder at Arondite. From your first day, you will influence the design, functionality, and direction of our products. We hire top talent and empower them with high levels of autonomy; the sky is the limit for ambitious individuals.If you are motivated by our mission and eager to join a growing team of outstanding professionals, we want to hear from you.About the Role

Arondite seeks an experienced Lead AI Research Engineer to guide our AI capabilities. You should have prior experience developing AI solutions in fast-paced commercial environments and managing high-caliber AI engineering teams. You will also contribute directly to implementing AI solutions.The solutions you develop may include AI/ML models integrated into our core software, as well as deployments on edge devices like drones and ground robots. The role involves addressing practical challenges such as data acquisition, ethical considerations, and model interpretability.As a leader in our AI team, you will shape how we leverage AI to enhance our products and internal processes.Required qualifications:Experience managing AI engineers and building engineering teamsMSc in computer science, AI, machine learning, robotics, or related fieldsProficiency in Python, Rust, C++, or JavaAt least 5 years of relevant experience in modern ML applications such as scene understanding, multi-modal sensing, control, path planning, language models, and vision-language understandingStrong communication skills for effective stakeholder engagementPassion for pragmatic AI solutions and traditional algorithmsPreferred qualifications:PhD in computer vision, ML, robotics, or related fieldsPublications in top-tier conferences/journals (e.g., CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI)Experience with MLOps, deployment, monitoring, testing, and QA of AI modelsUnderstanding of sensor modalities and data processing for challenging scenariosExperience creating resource-efficient AI models for constrained hardwareExperience with synthetic data, simulation, or large dataset managementWe value diversity and encourage applicants from all backgrounds. You do not need to fulfill every listed qualification.Security clearanceThis role requires UK security vetting to SC level or above, which typically requires at least 5 years of UK residency.Office vs Hybrid workingWe promote a collaborative, engineering-driven culture. While we prefer working in the office, remote work is acceptable when appropriate. Occasional travel may be required.Application processOur interview stages typically include:CV submission with initial questionsIntroductory Teams call (30 mins)In-person technical interview (1-2 hours)Final interview with a Founder (30 mins)Competitive salaryEquity options7% pension contributionFree meals and weekly social eventsPrivate health and dental insuranceCycle to work schemeRelocation support and visa sponsorship for strong candidatesResources and training for excellenceOpportunity to learn from top industry and academic experts

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