MACHINE LEARNING ENGINEER
$185,000 - 200,000 + Equity
NEW YORK, NY
ON-SITE 5 DAYS/WEEK
If you're looking to make a tangible difference in the Radio Frequency space, revolutionize the understanding of radio spectrum and wireless signals, and put your Machine Learning skills to the test in an up-and-coming startup, this role is for you!
THE COMPANY
This company is a highly innovative technology startup dedicated to revolutionizing the understanding of radio spectrum and wireless signals; They focus primarily on developing low-cost sensors capable of scanning signal transmissions and providing valuable statistical insights. Specializing in separating signals from noise, localizing signal transmissions, and streamlining signal transmission, and catering to long-term clients in the wireless communications and defense industries, this company is set to overhaul the radio frequency industry from the ground up.
THE ROLE
This company is seeking a talented Machine Learning Engineer to join their growing team. This individual, a crucial cornerstone of the company's R&D team, will focus on deploying novel algorithms and will play a key role in building and deploying state-of-the-art ML solutions for their innovative radio frequency projects.
WHO YOU ARE
- You have experience in applied machine learning, embedded systems, and signal processing
- You have a strong background in mathematics or statistics
- You possess a high level of expertise in spectral data analysis, experimental design, and cloud computing for cost optimization
- You've spent time working in embedded Nvidia, embedded spectrum, and embedded ML
- You're passionate about tackling novel problems and driving innovation in the Radio Frequency space
- You thrive in a collaborative environment and possess excellent communication skills
- $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
HOW TO APPLY
Please register your interest by sending your CV to Jack Wolf via the application link on this page.