Senior AI Research Scientist

<div class="content-intro"><h4><strong>Join Axon and be a Force for Good.</strong></h4> <p>At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.<br><br>Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.</p></div><p><strong>Your Impact</strong><br><br>We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. <br><br><strong>What You’ll Do</strong><br>Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see <a href="https://www.axon.com/company">https://www.axon.com/company</a>)</p> <ul> <li>EU: Tampere, Finland or London, UK or Brussels, Belgium </li> </ul> <h4><strong>Responsibilities</strong></h4> <ul> <li>Own one or more key technical areas across LLM, MLLM, CV product portfolio.</li> <li>Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.</li> <li>Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.</li> <li>Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.</li> <li>Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.</li> <li>Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.</li> <li>Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.</li> <li>Evaluate the performance of LLM, MLLM, CV models using