Senior Software Engineer, Auto-Transcribe
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.
Axon Auto-Transcribe
Axon Auto-Transcribe transforms the way agencies write incident reports, review evidence, conduct supervisor reviews, and produce court-level transcripts.
Two years ago, Axon put together a small team to explore how we could use speech-to-text technologies to build new, innovative products. That team has gone from building prototypes to shipping multiple impactful products that serve our customers around the globe, including:
- Review Assistant, making evidence review more efficient
- Transcription Assistant, speeding up the transcription of audio for court
- Priority Ranked Video Audit, giving supervisors meaningful videos to review
- And more in early access trials today...
We are just getting started and continue to innovate every day with the vision of automating report writing by 2030.
See our vision here - https://vimeo.com/367709273
Your Impact
Do you want to contribute to the work that addresses some of today’s most challenging problems in public safety? Are you passionate about building scalable, reliable, and innovate systems while interfacing with cutting edge machine learning technologies? Are you ready to write code to save lives?
As a Senior Backend Software Engineer on the Auto-Transcribe team, you will help lead the scaling of one of the largest speech-to-text clusters in the world and build the foundation for next generation speech, search, natural language processing, and real-time alerting.
The systems you architect and build will power the Axon Ecosystem with speech and language technologies. The features you implement will help reduce the 40% of time officers spend writing reports, make police report more efficient to review, and improve situational awareness for all of public safety.
This role will enable you to elevate your skills to the next level. You will join a team, product, and industry with enormous opportunity for technical innovation and societal impact.
Your Day-to-Day
- Work with other world-class Engineers, Product Managers and Product Designers to build the next generation of Auto-Transcribe features
- Architect, build, and maintain one of the largest speech and language compute clusters in the world
- Collaborate with other engineers to grow the transcription platform to transcribe hundreds of millions of minutes per month
- Gather system and user metrics to improve existing features
Basic Qualifications
- 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 building highly available, low latency systems for high traffic applications
- Experience architecting and building backend systems and services in Scala, Java, Go, or a similar language
- Advanced knowledge and hands-on experience with major cloud environments (such as AWS, Microsoft Azure and Google Cloud)
- Experience working cross-functionally with Product Managers and Designers
- A passion for working with a dynamic, fast-paced team to improve public safety and the lives of our customers
Preferred Qualifications
- Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field
- Advanced knowledge architecting real-time, streaming, data-intensive applications
- Experience with machine learning products such as natural language processing
- Experience with cloud native technologies such as Kubernetes, Terraform, and gRPC
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.