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. 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 other 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. 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, LLMs. 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.

In Short

Architect solutions to train and evaluate models on a distributed architecture.
Optimize the evaluation and training of models within Axon.
Architect novel, strategic distributed solutions for continuous model improvement.
Deliver novel, strategic solutions to accelerate innovation.
Influence to the AI community by developing state-of-the-art solutions for privacy-preserving distributed model training.

Requirements

Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
8+ years of software engineering experience and a proven track record of successfully training.
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) and Infrastructure as Code for deploying Platforms at scale.
Experience with CI/CD solutions in the context of MLOps including automation with IaC (e.g., using terraform).
Excellent problem solving and software design skills.
Comfort communicating and interacting with scientists, engineers and ML/product managers.

Benefits

An awesome office/working environment with the latest technologies.
Competitive salary and benefits including a great medical insurance plan for you and your family.
Free lunch, gym, phone stipend, parking.
Fun team activities and outings.
Flexible working hours.
Opportunities for training and rotations in the US.
Opportunities to ride along with real US police officers in real life situations, see them use technology, and get inspired.