Our mission is to protect life.

We’re out to make the world a safer place by solving big problems and taking on the public safety challenges of our time. From our company's inception building the TASER device to a full suite of hardware and software solutions, we are focused on providing police agencies with state-of-the-art devices and services they need to successfully serve and protect us. In the next few years, we're going to eliminate the burden of paperwork in policing, so officers can increase the time they spend building relationships and serving in their communities. We’ll put video at the heart of police records so our justice system can get to the truth faster. And we won't stop innovating until the bullet is rendered obsolete.

It’s a big mission, but it’s one we’ll pursue relentlessly every single day.

Our mission is to protect life

We’re out to make the world a safer place by solving big problems and taking on the public safety challenges of our time. From our company's inception building the TASER device to a full suite of hardware and software solutions, we are focused on providing police agencies with the state-of-the-art devices and services they need to successfully serve and protect us. In the next few years, we're going to eliminate the burden of paperwork in policing, so officers can increase the time they spend building relationships and serving in their communities. We’ll put video at the heart of the police record so our justice system can get to the truth faster. And we won't stop innovating until the bullet is rendered obsolete.

It’s a big mission, but it’s one we’ll pursue relentlessly every single day.

Your Impact

You aren’t like everybody else. You aim a little higher. You reach a little further. Your experience is much broader than just a previous career or a few past jobs. You've been listening, learning, and paying attention to recent events which have demonstrated to you why building world-class technology for Public Safety is so important. You do more because it matters to you. And when it comes to looking for that next opportunity, you want to do work that matters to others.

As a founding member of Axon’s AR/VR engineering team, you will be responsible for the AI elements of our training products, specifically around NLP. You will leverage the latest in this technology to help improve the pace of dialog, steer narrative direction based on what the trainee says and how they said it, enable agencies to extract insights from the sessions, and develop realistic sounding artifical voices that bring the characters to life. All while working towards the ultimate vision trainee being able to self-lead a training scenario based on AI and NLP, where the system is able to recognize intent and respond accordingly.

You will join an interdisciplinary team tackling the biggest challenges in public safety training head-on, including immersive VR-based empathy development training and de-escalation training to help officers engage with the communities they serve with greater awareness and safety. We seek to accomplish this while abiding to the following guiding principles:

  1. Build AR and VR Solutions for Social Good: With our mission to Protect Life, we develop AR/VR solutions that benefit both law enforcement and the community, while addressing key issues in society.
  2. Empower Agencies with Data: Deliver ongoing data and analysis that provide agencies with key insights that enable them to make decisions that result in building better, more efficient, and positive programs.
  3. Develop an Active and Diverse Virtual Platform: Leverage the latest in AR & VR technologies to create a robust portfolio of solutions and the highest-quality content, that enable users to be more effective in their roles and manage the challenges of 21st century public safety.

Our AR/VR Team Culture

We believe that happy teams make the best products, so we foster a friendly, open, introspective team culture that encourages everyone to speak their mind, collaborate together, and have fun. (The team has weekly VR happy hours in headset.)

We believe we can only succeed if we deeply understand our customers and get to know them. We spend a lot of time with law enforcement officers to learn about their needs, watch their experience and see the real impact of our work. We also work closely with our Axon Community Impact team, along with other community subject experts to create our content and curriculum to reflect the needs of both law enforcement + community.

Your Day to Day

  • Working with other engineers on your team to build the next-gen AR/VR training platform for public safety.
  • Immerse yourself in the latest NLP technologies and incorporate them into out AR/VR solutions in new and novel ways, that drive customer engagement and adoption.
  • Deliver novel, strategic AI-enabled solutions with diverse skills in distributed machine learning 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.

Basic Qualifications

  • Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
  • 5+ years of experience developing, shipping, and measuring industry-scale machine learning-based software systems.
  • Proficiency in at least one object-oriented language (e.g. Java, C++, C#), scripting languages (e.g. Python, Ruby), and deep learning/machine learning frameworks (e.g. TensorFlow, PyTorch, CoreML)
  • Experience in data science and analytics, including data annotation, A/B testing, and/or conducting experiments and investigations in usage data environments.
  • Deep understandings of fundamentals of machine learning and natural language processing, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking.
  • Hands-on experience in solving Natural Language Processing (NLP) problems under business settings.
  • 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

Preferred Qualifications

  • Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
  • Familiarity with IoT/Edge AI and optimizing ML pipelines to run on-device with constrained compute, power and latency budgets
  • Experience working with Speech Synthesis to create more natural sounding interactions.

Compensation and Benefits

  • Competitive salary and 401K with employer match
  • Discretionary paid time off
  • Robust parental leave policy
  • An award-winning office/working environment
  • Ride along with real police officers in real life situations, see them use technology, get inspired
  • And more...

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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