We are seeking a skilled Machine Learning Engineer to join our in-person team. As a member of our engineering team, you will be deeply involved in the research and development of innovative algorithmic approaches to signals intelligence, playing a pivotal role in the evolution of our products.


  • Collaborate with company and engineering leadership to define and design experiments.
  • Implement and optimize machine learning models tailored for real-time, edge applications.
  • Evaluate the effectiveness and accuracy of new and existing models.
  • Stay updated with the latest advancements in machine learning and signal processing.
  • Translate complex research findings into actionable insights for product development.
  • Work closely with the embedded systems team to integrate machine learning models into our products.
  • Provide technical guidance and mentorship to junior team members.


  • Experience working in laboratory or professional applied research settings.
  • Proven experience in machine learning, signal processing, statistical analysis or related areas.
  • Strong programming skills in Python, PyTorch, and similar frameworks.
  • Familiarity with Linux OS
  • Familiarity with embedded systems and edge computing.
  • Excellent problem-solving skills and a passion for innovation.
  • Strong communication skills, both written and verbal.
  • Eligible for United States Security Clearance


  • Physics or Radio Physics background with experience with modeling physical systems, especially radio propagation
  • Information theory or signal processing background with experience modeling statistical characteristics of signals
  • Machine Learning or statistical analysis background with experience designing robust experiment and evaluation frameworks.

What We Offer:

  • Competitive salary, equity, and benefits package
  • Health, dental, and vision coverage
  • 401(k) match
  • Unlimited PTO
  • Daily office-provided lunches in NYC
  • Opportunity to work on cutting-edge technology.
  • Collaborative and inclusive work environment.
  • Professional growth and learning opportunities.