Sr ML Engineer - AI Platform

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.
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

• Architect, develop and manage a scalable, reliable, optimized, infrastructure to train, test, and improve ASR, CV and NLU models.
• 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 to 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 experience in solving Computer Vision or Speech Recognition problems in a business setting.
• Familiarity with responsible AI, de-biasing, encryption and de-identifying techniques.

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