AXON

AI Scientist I

Seattle, Washington, United StatesFull time$129,750 - $207,600 / yearPosted 22 days ago
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Join Axon and be a Force for Good. 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.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.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. Your ImpactWe are seeking a highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications 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 Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data. What You’ll DoLocation: Seattle, WAReports to: Senior Manager, Research Science Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources. Design and implement efficient and scalable MLLM models for inference and analysis of visual data. Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and 1 years experience in Computer Science and Robotics or a related field with a focus on robotics perception, MLLMs, computer vision, machine learning, or artificial intelligence. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operatio...