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About Harnham
Harnham is a highly innovative technology startup dedicated to revolutionizing the understanding of radio spectrum and wireless signals. Our company focuses primarily on developing low-cost sensors capable of scanning signal transmissions and providing valuable statistical insights. We specialize in separating signals from noise, localizing signal transmissions, and streamlining signal transmission, with a goal of catering to long-term clients in the wireless communications and defense industries.
About the Role
We are seeking a talented Machine Learning Engineer to join our growing team. This individual will be a crucial cornerstone of our R&D team, focusing on deploying novel algorithms and playing a key role in building and deploying state-of-the-art ML solutions for our innovative radio frequency projects.
Key Responsibilities
- Develop and deploy novel machine learning algorithms for radio frequency signal processing
- Collaborate with our R&D team to design and implement cutting-edge ML solutions
- Work closely with our engineering team to integrate ML models into our sensor systems
- Contribute to the development of our company's technical roadmap and strategy
- Stay up-to-date with the latest advancements in machine learning and radio frequency signal processing
Requirements
- Experience in applied machine learning, embedded systems, and signal processing
- Strong background in mathematics or statistics
- High level of expertise in spectral data analysis, experimental design, and cloud computing for cost optimization
- Experience working with embedded Nvidia, embedded spectrum, and embedded ML
- Passion for tackling novel problems and driving innovation in the Radio Frequency space
- Excellent communication and collaboration skills
What We Offer
- $185,000 – 200,000 annually
- Comprehensive equity package in a quickly growing startup
- 401k, health, dental, and vision coverage
- Direct exposure to company founders and C-suite leadership
- Opportunity to make a tangible difference in an innovative startup environment