Senior Machine Learning Scientist

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. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast‑paced, challenging and meaningful. Here, you’ll take ownership and drive real change.

Constantly grow as you work hard for a mission that matters at a company where you matter.

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.

You will collaborate with cross‑functional teams to design, develop, and deploy cutting‑edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

Location:

any city with an Axon Engineering Hub in the US, Vietnam or EU (see ).

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product features.
• Research and develop cutting‑edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensor‑based data sources.
• 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 and algorithms for performance, memory footprint and energy efficiency to meet the requirements of resource‑constrained devices.
• Join forces with MLEs, firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV 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.
• Coach and mentor junior scientists.

• PhD and +5 years of experience as a Machine Learning Scientist, +8 years for Senior ML Scientist, or +10 years for Principal ML Scientist in Computer Science or a related field with a focus on LLM, MLLM, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top‑tier conferences or journals.
• Strong proficiency in programming languages such as Python and C/C++, experience with deep learning frameworks such as Tensor Flow, PyTorch or Keras, and experience with ROS or a robotic operating system.
• Experience with all phases of the ML development lifecycle: shaping datasets, investigating modeling approaches and architectures, training/executing/tuning models, and implementing end‑to‑end training pipelines.
• Leverage state‑of‑the‑art research to deliver high‑quality models enabling multiple AI projects at scale.
• Contribute to the research community via academic publications, tech blogs, open‑source code and participation in internal or external AI challenges.
• Experience 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 ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and ability to effectively present complex technical concepts to both…