Axon
Enterprise · Public safety technology
Enterprise · Public safety technology
Axon currently has 44 active AI-related job listings. The majority of these roles, 48%, are focused on agents. Engineering is the most frequent function for these hires, followed by Product and Research. The company is primarily hiring in the United States. Frequent technical tags include agent_orchestration, model_serving, and inference_infra, suggesting a focus on deploying and managing AI models. Over the last 30 days, Axon has posted 18 new AI roles, representing a 25% decrease compared to the previous 30-day period.
Currently tracking 25 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$283k (avg $201k).
Axon currently has 55 active AI-related roles in our index. The most common open titles are: Senior D365 F&O Solutions Analyst (6), Senior Director, Enterprise Applications (6), Senior Machine Learning Scientist (3), Senior Software Engineer I (2), Senior Software Engineer II (TASER Data Science) (2). Most positions are in Engineering and Product.
Axon's active AI hiring is concentrated in: agents (58%), application (20%), serving infrastructure (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Axon is hiring AI talent in: United States (49 roles), Vietnam (4 roles), United Kingdom (2 roles).
Job postings at Axon most frequently mention: Computer Vision, Machine Learning, TensorFlow, Natural Language Processing, Embedded Systems.
In the past 30 days, Axon has posted 29 new AI-related roles. That is a +21% change versus the prior 30 days (24 → 29).
| Title | Stage | AI score |
|---|---|---|
| AI Scientist I Seeking an AI Scientist with a PhD and 1 year of experience in Computer Science and Robotics, focusing on MLLMs, Computer Vision, and Machine Learning for cloud, devices, and robotics. The role involves researching and developing advanced MLLMs and Computer Vision techniques, optimizing algorithms for resource-constrained devices, and collaborating with cross-functional teams. Responsibilities include designing, implementing, and evaluating MLLM models, contributing to publications, and mentoring junior scientists. | Post-trainServe | 9 |
| (Senior) Research Scientist Research Scientist role focusing on AI applications (LLM, MLLM, Computer Vision, GenAI) in Cloud, Devices, and Robotics. Responsibilities include developing cutting-edge models, optimizing for resource-constrained devices, and contributing to publications. Requires PhD, 5+ years of experience, and a strong publication record. |
| Post-trainAgent |
| 9 |
| Senior Machine Learning Scientist Seeking a Senior Machine Learning Scientist to focus on AI applications (LLM and Computer Vision) in Cloud, Devices, and Robotics. The role involves advancing state-of-the-art in LLMs, MLLMs, Computer Vision, and GenAI technologies, collaborating with cross-functional teams to design, develop, and deploy models and algorithms for intelligent reasoning and perception of multimodal data. Responsibilities include owning technical areas, providing technical leadership, researching and developing cutting-edge techniques, designing and implementing MLLM models, exploring novel approaches in NLP/CV, optimizing AI models for resource-constrained devices, collaborating with engineers on hardware acceleration, evaluating model performance, staying updated on research trends, and contributing to publications. | Post-trainAgent | 9 |
| Senior Machine Learning Scientist Seeking a Senior Machine Learning Scientist to focus on AI applications (LLM and Computer Vision) in Cloud, Devices, and Robotics. The role involves advancing state-of-the-art in LLMs, MLLMs, Computer Vision, and GenAI technologies, collaborating with cross-functional teams to design, develop, and deploy models and algorithms for intelligent reasoning and perception of multimodal data. Responsibilities include owning technical areas, providing technical leadership, researching and developing cutting-edge techniques, designing and implementing MLLM models, exploring novel approaches in NLP/CV, optimizing AI models for resource-constrained devices, collaborating with engineers on hardware acceleration, evaluating model performance, staying updated on research trends, and contributing to publications. | Post-trainServe | 9 |
| Senior Machine Learning Scientist Seeking a Senior Machine Learning Scientist to join Axon's AI team, focusing on LLM, MLLM, Computer Vision, and GenAI applications in Cloud, Devices, and Robotics. The role involves researching, developing, and deploying cutting-edge models and algorithms, with a focus on enabling intelligent reasoning and perception of multimodal data. Responsibilities include technical leadership, optimizing models for resource-constrained devices, and contributing to the ML development lifecycle. | Post-trainServe | 9 |
| Senior AI Research Scientist Axon is seeking a Senior AI Research Scientist to focus on AI applications (LLM and Computer Vision) in Cloud, Devices, and Robotics. The role involves researching, developing, and deploying cutting-edge LLM, MLLM, CV models, and algorithms for intelligent reasoning and perception of multimodal data. Responsibilities include technical leadership, optimizing models for resource-constrained devices, and contributing to publications. | Post-trainServe | 9 |
| Senior AI Research Scientist Axon is seeking a Senior AI Research Scientist to focus on AI applications (LLM and Computer Vision) in Cloud, Devices, and Robotics. The role involves researching, developing, and deploying cutting-edge LLM, MLLM, CV models and algorithms, optimizing them for resource-constrained devices, and contributing to publications. The scientist will provide technical leadership and mentor junior researchers. | Post-trainServe | 9 |
| Senior AI Research Scientist Axon is seeking a Senior AI Research Scientist to focus on AI applications (LLM and Computer Vision) in Cloud, Devices, and Robotics. The role involves researching, developing, and deploying cutting-edge LLM, MLLM, CV models, and algorithms for intelligent reasoning and perception of multimodal data. Responsibilities include technical leadership, optimizing models for resource-constrained devices, and contributing to publications. | Post-trainServe | 9 |
| Sr Machine Learning Engineer I This role focuses on researching, designing, and validating advanced estimation and probabilistic models for sensor fusion and tracking systems, specifically for real-time airspace awareness. The engineer will develop and evaluate algorithms like Kalman filters and Bayesian filters, analyze real-world datasets, and partner with software engineers to deploy these algorithms into production systems. The role requires strong Python skills, experience with ML frameworks, and familiarity with MLOps practices. | Post-train | 7 |
| Senior Product Manager II, RF Detection & Tracking Senior Product Manager II for RF Detection & Tracking, owning the technical moat including TDoA networks, RFML classification, and spectrum coverage. Requires deep engineering understanding with RF scientists and ML engineers, driving a multi-year roadmap for a classification or detection product. | Post-train | 7 |