Machine Learning Research, RF Foundation Models Specialist
Distributed Spectrum5 months ago
New York, NY, USAMid Level / Senior
Base Salary
$200k - $300k/yr
Responsibilities
- Formulate new ML problems in RF sensing and spectrum understanding.
- Design experiments and evaluation approaches reflecting real operating conditions.
- Build models for structured, noisy, and partially observed signal environments.
- Improve robustness across propagation, interference, and low-visibility conditions.
- Optimize models for throughput, latency, and deployment constraints.
- Move promising research into a release path for real systems.
- Use field performance to inform the next generation of models and tooling.
Requirements
- Deep mathematical and modeling fundamentals.
- Strong hands-on experience with modern ML frameworks.
- Ability to work in domains where problem formulation is crucial.
- Strong instincts for signal-rich, structured, non-generic data.
- Comfort operating with ambiguity and changing requirements.
- Clear technical communication and cross-functional collaboration.
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.
Categories
Data ScienceEmbedded
About Distributed Spectrum
Distributed Spectrum builds software and sensor systems for radio spectrum intelligence, combining signal processing, machine learning, and embedded computing for defense and government operators. Its products collect and analyze RF data and run trained models on low-power devices to detect and interpret critical signals in the field. Founded in 2020 and headquartered in New York, the company is privately held and venture-backed.