Senior Software Engineer II (TASER Data Science)

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. Your Impact Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable. We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER devic [... source excerpt omitted ...] duct, and domain — and this hire is the next deliberate addition. This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in. What You’ll Do Location: This role is based out of one of our US-based offices (Seattle or Scottsdale) and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommoda [... source excerpt omitted ...] uild and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build