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Benefits offered by this job
Above-market salary
Early Series A Equity
Excellent health, dental, and vision coverage
401(k) match
Flexible PTO
Daily office lunches in NYC
Job summary
Distributed Spectrum in New York, NY is hiring a Machine Learning Researcher to develop AI-enabled sensing systems focusing on RF domains. The successful candidate will work on formulating ML problems, designing experiments in realistic conditions, and optimizing models for deployment. A strong mathematical background, hands-on experience with ML frameworks, and adaptability are key qualifications. The role offers above-market salary, equity, benefits, and a collaborative team environment.
Qualifications
Comfort operating with ambiguity and changing requirements.
Strong instincts for signal-rich data and problem formulation.
Experience with RF or signal-centric ML is a plus.
Responsibilities
Formulate new ML problems in RF sensing and spectrum understanding.
Design experiments for real operating conditions.
Build models for structured and partially observed signal environments.
Optimize models for throughput and deployment constraints.
Convert research into maintainable and deployable code.
Skills
Deep mathematical and modeling fundamentals
Strong hands-on experience with modern ML frameworks
Ability to work in structured, non-generic data
Clear technical communication
Cross-functional collaboration
Job description
Distributed Spectrum in New York, NY is hiring a Machine Learning Researcher to develop AI-enabled sensing systems focusing on RF domains. The successful candidate will work on formulating ML problems, designing experiments in realistic conditions, and optimizing models for deployment. A strong mathematical background, hands-on experience with ML frameworks, and adaptability are key qualifications. The role offers above-market salary, equity, benefits, and a collaborative team environment.