AI Research Scientist II

Axon•Seattle, WA

1d•$139,500 - $223,200•Hybrid

About The Position

We are seeking a skilled and innovative applied Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data.

Requirements

PhD (or equivalent research experience) plus at least 1 year industry experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
Proven track record of research in machine learning, computer vision or related fields.
Experience owning and driving the ML development lifecycle from problem definition and data strategy through model development, evaluation, deployment, and iteration in production environments.
Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, ability to reason about trade-offs across accuracy, robustness, latency, and compute.
Strong data-centric ML experience, including dataset curation, labeling strategies, metric design, and analysis of long-tail and edge cases.
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Nice To Haves

Experience in video analysis, search and/or action recognition preferred but optional.
Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.

Responsibilities

Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.