Machine Learning Engineer

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New York City, New York / $180000 - $200000 annum

INFO

Salary
SALARY:

$180000 - $200000

Location

LOCATION

New York City, New York

Job Type
JOB TYPE

Permanent

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

  • 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
  • Worth with radio signal processing data and embedded systems

YOUR SKILLS AND EXPERIENCE

Requirements

  • Experience in applied machine learning, embedded spectrum systems, and signal processing preferred
  • 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 Mathematics, Statistics, Computer Science or other STEM-related field
  • Comfortable working on defense industry projects

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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