Machine Learning Engineer
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
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