Senior Software Engineer Ii (taser Data Science)

Axon Development Group

Seattle, Washington, United States
Base: $148,500 - $237,600 usd; bonus/equity: inclu...
On-site
Production-grade python code with comprehensive testing
Deployed and operated ml systems in production
Experience with messy real-world device telemetry data
The role focuses on moving customer-validated models from research into reliable, production-grade systems that drive actionable insights for law enforcement training

Job Summary

  • The role focuses on moving customer-validated models from research into reliable, production-grade systems that drive actionable insights for law enforcement training.
  • Candidates will work in a technically deep, small team embedded in the TASER pillar, analyzing device telemetry and behavioral science to reduce fatal officer-involved shootings.
  • Axon offers competitive compensation including base pay, bonus, stock awards, and benefits such as discretionary paid time off, parental leave, and wellness support.

Matching Summary

The role focuses on moving customer-validated models from research into reliable, production-grade systems that drive actionable insights for law enforcement training.

Salary

Base: $148,500 - $237,600 USD; Bonus/Equity: Included in total compensation package; Benefits: Competitive salary, 401k match, PTO, medical/dental/vision, wellness programs

Skills & Requirements

Must-have

  • Production-grade Python code with comprehensive testing
  • Deployed and operated ML systems in production
  • Experience with messy real-world device telemetry data
  • Ability to define problems and shape technical roadmaps
  • Self-sufficient engineering in small cross-functional teams

Nice-to-have

  • Advanced degree in quantitative or analytical fields
  • Intellectual background outside computer science
  • Hands-on experience with ML production tooling
  • Experience with cloud data platforms like Azure ML or Databricks
  • Background in hardware-adjacent data or IoT event logs

Key Requirements

  • High standard of production code writing
  • Proven track record of ML system operations
  • Experience with device logs and event streams
  • Strong influence on organizational technical direction
  • Adaptability to evolving requirements

Work Rights

Not specified

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