Axon is seeking a Machine Learning Engineer II to join their mission of protecting life through innovative technology solutions. This role offers an exciting opportunity to work on cutting-edge AI applications in the public safety sector, with a focus on developing and implementing platforms for AI model training and deployment.
The position involves working with a multidisciplinary team to support various AI capabilities across Axon's product line, including Fleet, Axon Body, and Axon Air. You'll be working on diverse applications ranging from computer vision to speech recognition and Natural Language Understanding. The role requires expertise in building and managing large-scale distributed platforms for secure and compliant research in the cloud.
As a Machine Learning Engineer at Axon, you'll be responsible for architecting and implementing the platform used by scientists to transform the public safety space. This involves close collaboration with scientists and engineers to enable new AI capabilities through the training, evaluation, testing, and deployment of machine learning models. The role particularly emphasizes responsible AI development, including work on model fairness, security, and innovation acceleration.
The position offers competitive compensation with a base salary range of $140,000 to $260,000, depending on location, plus bonus and stock awards. Axon provides comprehensive benefits including medical insurance, flexible working hours, and various perks such as free lunch and gym access. The company culture emphasizes innovation, collaboration, and making a positive impact on society through technology.
This role is ideal for candidates who are passionate about AI and want to contribute to meaningful products that help protect life. The position offers unique opportunities to work with real-world applications of AI in public safety, including ride-alongs with police officers to understand technology usage in the field. Axon's commitment to diversity and inclusion means they welcome candidates who might not meet every qualification but are passionate about the mission and have the core technical skills needed to succeed.