Senior Machine Learning Engineer II - Remote

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.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email [email protected]. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Your Impact

Do you want to contribute to the work that addresses some of today's most challenging problems in the public safety space? Are you passionate about AI and Machine Learning? Are you looking for an opportunity to build scalable systems to train deep learning models and deploy it in real life situations for the greater good?

As a Sr. ML Engineer, you will build multiple ML platforms for data, architecture, model training/evaluation, pipeline inference in AI/ML projects including computer vision and acoustics understanding. You will be collaborating with other research scientists and machine learning engineers, and be actively involving the entire AI innovation life cycle from model prototyping to deployment and continuous learning.

The ideal candidate will have a consistent track record of successfully delivering end-to-end systems to scale AI-based product development and deployment with hands-on execution. We need someone willing to be fearless and more than willing to take on bold challenges. By accelerating adoption of our technologies, you'll help protect life in public safety for both officers and the communities they serve around the world.

Your Day-to-Day

• Deliver novel, strategic AI-enabled solutions with diverse skills in distributed machine learning training workflows, edge AI, data engineering and tools both in the cloud and on-device.
• Collaborate with science, tech and product teams on defining, architecting and building data ingestion systems and model training pipelines from experimentation to deployment, monitoring and continuous performance improvement.
• Impact our investment in ML Platform Engineering initiatives at Axon, by bringing own expertise and deep knowledge of the state-of-the-art to introduce new machine learning training and inference workflows to solve Customer problems pertaining to at least one product pillar.

Required Skills & Professional Experience

• Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 3-5+ years of software engineering experience and a proven track record of successfully architecting and building highly available, low latency systems for high traffic applications
• Proficiency in ML frameworks such as TensorFlow, Keras, PyTorch
• Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data and algorithm execution
• Advanced knowledge and hands-on experience with major cloud environments (such as AWS, Microsoft Azure and Google Cloud)
• Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
• Comfort communicating and interacting with scientists, engineers and ML/product managers

Preferred Qualifications

• Master's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
• Hands-on experience in solving Computer Vision or Acoustics Understanding problems under business setting.
• Familiarity with IoT/Edge AI and optimizing ML pipelines to run on-device with constrained compute, power and latency budgets

NOTE: The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.