Job Description:

Machine Learning Engineer New York City - IN PERSON$175,000 - $200,000 + Equity Harnham is partnered with a notable high-growth technology company at the forefront of radio spectrum and wireless signal analysis. With a focus on leveraging cutting-edge machine learning techniques, this company is dedicated to developing low-cost sensors and innovative solutions to interpret complex signal data. They offer an inclusive and dynamic work environment where every team member plays a vital role in driving forward technological innovation.THE ROLE Collaborate with a multidisciplinary team to develop innovative machine-learning solutions for analyzing radio spectrum and wireless signalsUtilize expertise in research and applied machine learning to drive the development and deployment of ML models in signal intelligence Contribute to the creation of fresh data sets and experimental designs to support model training and validationApply knowledge of embedded systems and signal processing to deploy ML solutions into constrained environments.Participate in quarterly deliverables and key company events, ensuring timely progress toward company objectivesCollaborate closely with team members and founders in an inclusive and dynamic work environment, fostering open communication and idea exchangeYOUR SKILLS AND EXPERIENCE Requirements Experience in applied machine learning, embedded spectrum systems, and signal processingExpertise in spectral data analysis, experimental design, and cloud computing for cost optimizationProficient in Nvidia, TensorRT, and Cuda technologiesPrevious experience in a start-up environment - the ability to work in a fast-paced environment History of research in machine learning topics Degree in Physics, Radio Physics, Electrical Engineering, Machine Learning, or other STEM-related fieldTHE BENEFITS A competitive base salary of $175,000-$200,000 will be offered + Equity + BenefitsHOW TO APPLY Please register your interest by sending your resume to Grace McCarthy via the Apply link on this page.KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing