Senior Computer Vision and Machine Learning Research Scientist
$159,750–$255,600 year
Hybrid · Seattle, Washington, United States
Job Summary
Senior Research Scientist in CVML leading end-to-end research on computer vision and multimodal AI for Axon products. Responsibilities include leading proof-of-concepts, designing and implementing privacy-preserving, scalable CVML models for inference on cloud and devices, developing performance and quality metrics, optimizing for resource-constrained devices, publishing and patent contributions, mentoring junior scientists, and collaborating with product managers, engineers, and cross-functional teams. Required expertise includes PhD with 3+ years in CV/ML, strong fundamentals in image processing, object detection, semantic segmentation, video analysis, experience with Python and PyTorch/TensorFlow/Keras, and ability to drive ML development lifecycle and communicate complex concepts effectively. Role is based in Seattle with a hybrid schedule (onsite Tue–Fri, remote Mon).
Required Qualifications
- PhD and 3+ years 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 driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale
- Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition
- 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
- Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional
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