Remote Machine Learning Engineer II
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Description:
- Join Axon and be a part of a mission to Protect Life by addressing critical safety and justice issues through innovative 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 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 domains including computer vision, speech recognition, and natural language understanding.
- Architect solutions for distributed model training and evaluation, optimizing processes for continuous model improvement.
- Develop state-of-the-art solutions for privacy-preserving distributed model training to influence the AI community.
Requirements:
- A Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field is required.
- A minimum of 8 years of software engineering experience with a proven track record in training machine learning models.
- 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) and Infrastructure as Code for deploying platforms at scale.
- Experience with CI/CD solutions in MLOps, including automation with Infrastructure as Code (e.g., using Terraform).
- Excellent problem-solving and software design skills are necessary.
- Strong communication skills to interact effectively with scientists, engineers, and ML/product managers.
Benefits:
- 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 actual situations, gaining inspiration from their use of technology.
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