System Engineer (Work From Home / Hybrid)

Hifi is seeking System Engineers to join their Systems team in either a work-from-home or hybrid in-the-office capacity. This position is for motivated and hardworking candidates who would like to put their machine learning and signal processing skills to use in a fast paced environment.

Job Summary

The successful applicant will be developing machine learning algorithms for the detection and classification of various events occurring on or near critical infrastructure such as pipelines. In addition to algorithm development, the Systems Engineer will be responsible for setting up and maintaining the hardware and software systems for various remote deployments.

Responsibilities & Qualifications

  • Preferred discipline of study: Electrical/Computer/Software Engineering (MSc/PhD degree preferred)
  • Software coding skills in Python/MATLAB is a must
  • Deep knowledge and experience in machine learning based algorithm development (feature extraction, model development, hyperparameter tuning, supervised and unsupervised learning, regression analysis, clustering, etc.) and testing methods
  • Experience in data preprocessing (cleaning, transformation, normalization, encoding, resampling, etc.) is required.
  • Familiarity with signal processing principles is a must
  • Familiarity with computer systems and ability to troubleshoot hardware and software issues is required