RF Machine Learning Engineer

Axon develops devices and cloud software focused on safety and justice issues, creating an ecosystem of products to protect life.
Machine Learning
Senior Software Engineer
Hybrid
6+ years of experience
AI

Description For RF Machine Learning Engineer

Axon, a company dedicated to protecting life through innovative safety and justice solutions, is seeking an RF Machine Learning Engineer for their Sterling, VA office. This role combines digital signal processing expertise with machine learning to advance wireless communication systems. The position offers a unique opportunity to work at the intersection of DSP and ML, developing cutting-edge solutions for real-world challenges.

The ideal candidate will bring 6 years of experience in software-defined radio development and wireless communications, with expertise in implementing sophisticated DSP techniques and machine learning models. You'll be responsible for developing SDR systems, applying ML techniques to complex DSP challenges, and implementing advanced signal processing methods.

Working in a hybrid environment (minimum 2 days onsite), you'll collaborate with cross-functional teams to translate research prototypes into production-grade solutions. The role offers comprehensive benefits including healthcare, 401k matching, paid parental leave, and professional development opportunities.

Axon values diversity and inclusion, encouraging applications from candidates who might not meet every qualification but are passionate about the mission. The company provides a fast-paced, challenging environment where you can drive real change while working on meaningful projects that impact society's safety and justice systems.

This role is perfect for someone who combines technical expertise in DSP and ML with a passion for solving complex RF challenges and a desire to contribute to Axon's mission of protecting life. The position offers both professional growth and the satisfaction of working on technology that makes a difference in public safety and justice.

Last updated 40 minutes ago

Responsibilities For RF Machine Learning Engineer

  • Develop software-defined radio (SDR) systems for wireless communication protocols
  • Apply machine learning techniques for DSP challenges and RF applications
  • Implement advanced DSP techniques including beamforming and MIMO analysis
  • Design and conduct experiments in lab and field environments
  • Translate research prototypes into production-grade solutions
  • Collaborate with cross-functional teams for ML-driven DSP solutions integration

Requirements For RF Machine Learning Engineer

Python
  • 6 years of experience in SDR development and wireless communication
  • Deep understanding of DSP and protocol analysis
  • Experience with GNU Radio and wireless communication protocols
  • Strong knowledge of linear algebra, probability theory, and statistics
  • Experience with machine learning frameworks (TensorFlow, PyTorch, or JAX)
  • Excellent communication skills
  • Ability to handle large datasets and develop robust data pipelines

Benefits For RF Machine Learning Engineer

401k
Dental Insurance
Medical Insurance
Mental Health Assistance
Parental Leave
Vision Insurance
Education Budget
  • Competitive salary
  • 401k with employer match
  • Discretionary paid time off
  • Paid parental leave
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • Office snacks

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