Description:

Join Axon and be a part of a mission to Protect Life by addressing critical safety and justice issues through devices and cloud software.
As a Machine Learning Engineer II, you will architect and implement platforms for Axon scientists to enhance public safety.
Collaborate with scientists and engineers to enable new AI capabilities for Axon products such as Fleet, Axon Body, and Axon Air.
Support the training, evaluation, testing, and deployment of machine learning models across various applications including computer vision, speech recognition, and natural language understanding.
Develop and manage scalable infrastructure for training and improving Automatic Speech Recognition, Computer Vision, and Natural Language Understanding models.
Deliver strategic solutions to enhance the fairness, security, and innovation of Axon models.
Influence the AI community by creating state-of-the-art solutions for responsible AI.

Requirements:

A Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field is required.
A minimum of 5 years of software engineering experience with a proven track record in architecting and maintaining large-scale distributed platforms for AI.
Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch is essential.
Advanced knowledge and hands-on experience with at least one cloud environment (AWS, Microsoft Azure, Oracle, or Google Cloud) is required.
Excellent problem-solving and software design skills are necessary.
A solid understanding of system architecture is important.
Comfort in communicating and collaborating with scientists, engineers, and ML/product managers is required.
Preferred qualifications include a Master’s Degree or PhD in a relevant technical field and hands-on experience in solving Computer Vision or Speech Recognition problems in a business context.
Familiarity with responsible AI practices, de-biasing, encryption, and de-identifying techniques is preferred.

Enjoy a modern office environment equipped with the latest technologies.
Receive a competitive salary and benefits package, including comprehensive medical insurance for you and your family.
Benefit from free lunch, gym access, phone stipend, and parking.
Participate in fun team activities and outings.
Take advantage of flexible working hours.
Access opportunities for training and rotations within the US.
Experience unique opportunities to ride along with real US police officers in real-life situations to see technology in action and gain inspiration.