Location: New York City, New York
Our client is a venture-backed startup revolutionizing RF situational awareness at the tactical level by building systems that provide actionable and non-technical information in real time in the field.
The product gives unparalleled insight into the activity of wireless devices at scales ranging from a single room to an entire city.
By disrupting entrenched players by shifting the focus to modular and flexible software. The technology is applied to solve a variety of stakeholder challenges. The software they build bridges the gap between $100 off-the-shelf hardware and the existing $1M+ systems in this space.
They have raised $4million+ in Seed funding, with positive cashflows, and growing!
This Role:
As a member of the 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 the products.
Responsibilities:
•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.
Compensation: $170-210k Base + Package
Special Perks:
•Competitive salary, equity, and benefits package
•Health, dental, and vision coverage
•401(k) match
•Unlimited PTO
•Daily office-provided lunches in NYC
Must Have Skills:
•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.
•Eligible for United States Security Clearance
Nice to Have Skills:
•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.
