AI Research Scientist I

Summary

Join Axon and be a Force for Good. 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.

Requirements

• A Master’s Degree (PhD preferred) in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field
• Hands on experience in developing, scaling and implementing machine learning solutions using relevant programming languages (such as Python), state-of-the-art deep learning frameworks (such as PyTorch and Tensorflow) and code development and review tools (such as Github)
• 5+ years of combined academic and industrial research experience developing Computer Vision solutions (such as object detection/tracking/recognition and visual scene understanding) in a business setting
• Track record of publications and contributions to the machine learning community
• Excellent problem solving skills and ability to dive into data, model architecture, learning algorithms/optimization, evaluation metrics, and testing scenarios
• Comfort communicating and interacting with scientists, engineers and product managers as well as understanding and translating the science of AI and Machine Learning to a more general audience
• Active learning, learning from synthetic data, and one-shot/data-efficient training of ML models
• Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments (such as AWS, Microsoft Azure and Google Cloud)
• Familiarity with IoT/Edge AI and optimizing ML models to run on-device with constrained compute, power and latency budgets

Responsibilities

• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges

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