Machine Learning Research, RF Foundation Models Specialist
Distributed Spectrum· Engineering
New York City$200k - $300kFull-timePosted 6mo ago
About the role
Distributed Spectrum is hiring a Machine Learning Researcher, Specialist to bring modern ML to RF sensing and spectrum understanding, with focus on problem formulation, robust modeling, and deployment-aware research in a field with unique constraints including signal structure, propagation effects, and edge deployment.
Responsibilities
- Formulate new ML problems in RF sensing and spectrum understanding
- Design experiments and evaluation approaches that reflect real operating conditions including domain shift, changing interference, and varying sensors and platforms
- Build models for structured, noisy, and partially observed signal environments
- Improve robustness across propagation, interference, and low-visibility waveform conditions
- Optimize models for throughput, latency, and deployment constraints
- Move promising research into a release path for real systems through proofs-of-concept, realistic validation, and conversion into maintainable, deployable code
- Use field performance to inform the next generation of models and tooling
Qualifications
- Deep mathematical and modeling fundamentals
- Strong hands-on experience with modern ML frameworks and experimental practice
- Ability to work in domains where problem formulation is as important as implementation
- Strong instincts for signal-rich, structured, non-generic data
- Comfort operating with ambiguity and changing requirements
- Clear technical communication and cross-functional collaboration
Skills
Required:Mathematical and modeling fundamentalsModern ML frameworks
Benefits
- Above-market salary, equity, and benefits package
- Early Series A Equity
- Excellent health, dental, and vision coverage
- 401(k) match - up to 4% of your salary
- Flexible PTO
- Daily office lunches in NYC
Last updated Aug 5, 2026. Interested? Apply on the company site.
About Distributed Spectrum
The World’s First AI Signals Expert
Gain actionable insights from the radio spectrum in real-time with small, cheap and efficient sensors from Distributed Spectrum
radio spectrumsensorsAI signalsthreat detection
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