AI Research Scientist II
Axon
Opportunity published from Greenhouse · applications stay with the original hiring source.
About the opportunity
Axon is seeking a skilled and innovative applied Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML).
You will play a crucial role in developing AI solutions that transform enterprise and public safety domains, advancing state-of-the-art CVML and multimodal technology to create new responsible AI capabilities for Axon products.
Reporting to the Director of AI Research, this role is based out of our Seattle, WA office and follows a hybrid schedule. Team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Key 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.
Qualifications
- 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 have
- 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.
Benefits
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
Base Pay Range
$139,500 — $223,200 USD
- Location: Seattle, WA (Hybrid)
- Additional details available at https://www.axon.com/careers
About the company
At Axon, we’re on a mission to Protect Life, accelerating justice, protecting truth, and saving lives through our ecosystem of devices and cloud software. 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, allowing you to take ownership and drive real change while constantly growing for a mission that matters.
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Full listing
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