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. Like our products, we work better together. 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. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?

As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to transform the public safety space. Collaborating closely with scientists and engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more) by supporting the training, evaluation, testing and deployment of machine learning models used at Axon across the board. As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from computer vision to speech recognition and NLU.

The ideal candidate will have a consistent track record of successfully leveraging and managing large-scale distributed platforms for secure and compliant research in the cloud. They will understand the AI lifecycle and be capable of supporting scientists along the development of state-of-the-art AI solutions, thus contributing to transforming the public safety space.

What You’ll Do

Location: North America
Reports to: Manager, Machine Learning Engineer

• Architect, develop and manage a scalable, reliable, optimized infrastructure to train, test, and improve Automatic Speech Recognition, Computer Vision and Natural Language Understanding models (including LLMs).
• Deliver novel, strategic solutions to improve the fairness of Axon models.
• Deliver novel, strategic solutions to improve the security of Axon models.
• Deliver novel, strategic solutions to accelerate innovation.
• Influence the AI community by developing state-of-the-art solutions for responsible AI.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 5+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms for AI.
• Proficiency in Python, familiarity with ML frameworks such as TensorFlow, Keras, PyTorch.
• Advanced knowledge and hands-on experience with at least one cloud environment (such as AWS, Microsoft Azure, Oracle, or Google Cloud).
• Excellent problem solving and software design skills.
• Understanding of system architecture.
• Comfort communicating and interacting with scientists, engineers, and ML/product managers.

Preferred

• Master’s Degree/PhD in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
• Hands-on