Senior Computer Vision and Machine Learning Research Scientist
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Computer Vision And Machine Learning ScientistIn this role you will advance CVML and multimodal AI to power Axon products for enterprise and public safety. You will lead end-to-end research, collaborate with cross-functional teams, and translate findings into scalable, responsible AI. You'll work on vision-centric problems such as scene understanding, action recognition, and anomaly detection, with an emphasis on edge and device constraints. This is a mission-driven, fast-paced environment where your work helps protect lives and enable safer outcomes.
Compensation / BenefitsCompetitive salary401k with employer matchDiscretionary paid time offPaid parental leaveMedical, Dental, VisionLearning & Development programsResponsibilitiesLead end-to-end research in computer vision, ML and gen-AI for cloud and devices using multimodal dataDesign and implement privacy-preserving, efficient models for visual data analysisDevelop performance metrics and validate CVML systems in real-world settingsOptimize algorithms for constrained devices in terms of performance, memory, and energyStay current with CVML advances and translate findings into shipping Axon productsContribute to academic publications, technical documentation, and patent disclosuresCoach and mentor junior scientistsCollaborate with product managers, engineers, and cross-functional teams to shape the Axon of tomorrowKey requirementsPhD and 3+ years in computer science or related field with focus on CV/ML/AIProven research track record in ML or CVExperience driving ML development lifecycle and delivering high-quality models at scaleStrong CV fundamentals: image processing, feature extraction, object detection, segmentation, video analysis, action recognitionExcellent problem-solving, analytical thinking, and independent yet collaborative work styleProficiency in Python and frameworks like PyTorch, TensorFlow, or KerasStrong communication skills for technical and non-technical audiencesExperience with edge devices or embedded systems in CV algorithms (preferred)
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