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Job Description
Axon is seeking a Senior Machine Learning Scientist II to join their AI team. This role focuses on AI applications in Cloud, Devices, and Robotics. The Senior Machine Learning Scientist II will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs) and Computer Vision technologies. They 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 this role involves:
  • Owning key technical areas across the CVML product portfolio.
  • Providing technical leadership to junior scientists.
  • Researching and developing cutting-edge techniques in MLLMs, GenAI, and Computer Vision.
  • Designing and implementing efficient and scalable MLLM models.
  • Exploring novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding.
  • Optimizing algorithms for performance, memory footprint, and energy efficiency.
  • Evaluating the performance of MLLM models using real-world datasets.
  • Staying up-to-date with the latest research trends and advancements.
  • Contributing to patent disclosures, academic publications, and technical documentation.
  • Coaching and mentoring junior scientists.

Requirements:
  • PhD with +8 years experience in Computer Science or a related field.
  • Proven track record of research excellence in machine learning, computer vision, robotics perception.
  • Strong proficiency in programming languages such as Python, C/C++.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with ROS or robotic operational system.
  • Experience in developing computer vision algorithms for resource-constrained devices is highly desirable.
  • Excellent problem-solving skills, analytical thinking, and the ability to work autonomously.
  • Well-developed communication skills.

What this role offers:
  • Competitive salary
  • 401k with employer match
  • Discretionary paid time off
  • Paid parental leave
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
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