Harnham - New York, NY

posted about 1 month ago

Full-time - Entry Level
New York, NY
Professional, Scientific, and Technical Services

About the position

As a Machine Learning Engineer on the founding team, you will be at the forefront of revolutionizing the understanding of radio spectrum and wireless signals. This role is pivotal in deploying novel algorithms and building state-of-the-art machine learning solutions tailored for innovative radio frequency projects. You will work closely with the R&D team to develop low-cost sensors that can scan signal transmissions, providing valuable statistical insights that are crucial for clients in the wireless communications and defense industries. Your contributions will directly impact the company's mission to overhaul the radio frequency industry from the ground up, making this an exciting opportunity for those looking to make a tangible difference in a rapidly evolving field. In this position, you will leverage your expertise in applied machine learning, embedded systems, and signal processing to tackle complex challenges. You will be responsible for designing and implementing machine learning models that can effectively separate signals from noise, localize signal transmissions, and optimize signal transmission processes. Your strong background in mathematics or statistics will be essential in developing robust algorithms that enhance the performance of our systems. Additionally, your experience with spectral data analysis and cloud computing will play a critical role in cost optimization and efficiency improvements within our projects. This is not just a job; it's an opportunity to be part of a highly innovative technology startup that values creativity and collaboration. You will thrive in a dynamic environment where your ideas and contributions are valued, and you will have the chance to work directly with company founders and C-suite leadership, gaining insights and exposure that are rare in most corporate settings.

Responsibilities

  • Deploy novel algorithms for machine learning applications in radio frequency projects.
  • Build and implement state-of-the-art machine learning solutions.
  • Develop low-cost sensors for scanning signal transmissions.
  • Provide statistical insights from signal data analysis.
  • Collaborate with the R&D team to enhance signal processing capabilities.
  • Optimize machine learning models for performance and cost efficiency.

Requirements

  • Experience in applied machine learning and embedded systems.
  • Strong background in mathematics or statistics.
  • Expertise in spectral data analysis and experimental design.
  • Proficiency in cloud computing for cost optimization.
  • Experience with embedded Nvidia and embedded ML technologies.
  • Passion for tackling novel problems in the Radio Frequency space.
  • Excellent communication skills and ability to thrive in a collaborative environment.

Benefits

  • $185,000 - 200,000 annually
  • A highly comprehensive equity package in a quickly growing startup
  • 401k, health, dental, and vision coverage
  • Direct exposure to company founders and C-suite leadership
  • The chance to make a tangible difference in an innovative startup environment
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