Senior Machine Learning Scientist I

Summary

Join Axon's AI team as a Computer Vision and Machine Learning Scientist and contribute to the advancement of Multimodal Large Language Models (MLLMs) and Computer Vision technologies. You will research and develop cutting-edge algorithms, collaborate with cross-functional teams, and optimize models for various platforms. This role requires a PhD and 5+ years of experience in a related field, proven research excellence, and strong programming skills. The position offers a competitive salary, comprehensive benefits, and opportunities for professional development. Location is remote near Seattle. Axon encourages applications even if you don't meet every requirement.

Requirements

• PhD and with +5 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

Responsibilities

• 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

Preferred Qualifications

• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

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