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 signals
• Utilize 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 validation
• Apply 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 objectives
• Collaborate closely with team members and founders in an inclusive and dynamic work environment, fostering open communication and idea exchange

YOUR SKILLS AND EXPERIENCE

Requirements

• Experience in applied machine learning, embedded spectrum systems, and signal processing
• Expertise in spectral data analysis, experimental design, and cloud computing for cost optimization
• Proficient in Nvidia, TensorRT, and Cuda technologies
• Previous 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 field

THE BENEFITS

A competitive base salary of $175,000-$200,000 will be offered Equity Benefits

HOW 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