Senior Machine Learning Scientist II

Summary

Join Axon's AI team as a highly skilled Computer Vision and Machine Learning Scientist, focusing on AI applications in Cloud, Devices, and Robotics. You will play a crucial role in advancing Multimodal Large Language Models (MLLMs) and Computer Vision technologies. Collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions. Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision. Optimize algorithms for performance and efficiency. Evaluate MLLM model performance and stay updated on the latest research trends. Contribute to patent disclosures and publications. This is a hybrid role in Seattle or remote from the US, reporting to the Senior Manager, Research Science.

Requirements

• PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence
• Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals
• 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 operational system
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Excellent problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment
• Well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Responsibilities

• Own one or more key technical areas across CVML product portfolio
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful CVML product feature
• Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based 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 forces 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

Preferred Qualifications

Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Benefits

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs