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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. 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.
Job Responsibility:
Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators
Evaluate the performance of LLM, MLLM, CV models using real-world datasets
Stay up-to-date with the latest research trends and advancements
Contribute to patent disclosures, academic publications, and technical documentation
Experience coach and mentor junior scientists
Requirements:
PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence 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
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle
Leverage state-of-the-art research to deliver high quality models at scale
Contribute back to the research community via publications, blogs, open-source
Experience in developing computer vision algorithms for resource-constrained devices is highly desirable