Distributed Spectrum
Machine Learning Research, RF Foundation Models Specialist
New York City
Work authorization requiredDetected 88 days ago
RESTMachine LearningA/B TestingEmbedded SystemsResearchCommunicationCollaborationAdaptability
About the role
- Some domains already have standard ML playbooks.
- You will work on problems where signal structure, propagation effects, interference, sparse visibility, and edge deployment constraints all shape what "good" looks like.
- The job is not just to improve accuracy.
Responsibilities
- 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
- Optimize models for throughput, latency, and deployment constraints
- DS creates systems that power the next generation of radio spectrum intelligence.
- Ownership of outcomes - You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
- Not building in a vacuum - You stay connected to the rest of our teams and our customers to make sure all the pieces fit together.
Requirements
- Strong hands-on experience with modern ML frameworks and experimental practice
- Ability to work in domains where problem formulation is as important as implementation
- Comfort operating with ambiguity and changing requirements
- Background in RF or signal-centric ML (spectrum sensing, modulation recognition, or related work) is welcome but not required
- Fast learners over specific backgrounds - We care more about how quickly you can pick up new skills than where you've worked before.
Compensation
- 401(k) match - up to 4% of your salary
Benefits
- Above-market salary, equity, and benefits package.
- Early Series A Equity
- Excellent health, dental, and vision coverage
Company info
- You challenge assumptions, test ideas, and pivot when needed.
Visa & Work Authorization
- citizen, lawful permanent resident of the U
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