Senior Software Engineer

2 weeks ago

Valencia, CA, United States huMannity Medtec Full time

We are seeking a Machine Learning Engineer with strong production-level Python development skills to join our algorithm team. The role involves the full spectrum of machine learning development-from Exploratory Data Analysis, early-stage prototyping, and algorithm tuning. This engineer will need to hand-off their work product to firmware and software engineers and support these engineers in development and deployment of production software.

Key Responsibilities

  • Conduct ETL, EDA, and feature engineering.
  • Design, prototype, and implement machine learning algorithms and data analysis procedures, with emphasis on biomedical time-series data and small datasets.
  • Develop robust, practical methods for classification, anomaly detection, regression, and prediction problems.
  • Develop, test, and maintain production-grade python following best practices in version control, testing, and documentation.
  • Collaborate across teams to translate algorithmic concepts into rigorously tested real-world embedded and/or cloud implementations.
  • Communicate findings and methods clearly to both technical and non-technical stakeholders.
Qualifications
  • Experience: Minimum of 5+ years designing, testing, and deploying machine learning algorithms in real-world applications.
  • Education: B.S. or M.S. in Computer Science, Electrical Engineering, or a closely related field.
  • Core foundations: Strong, first-principles understanding of probability, classical statistics, linear algebra, optimization, and classical as well as modern machine learning methods combined with keen intuition.
  • Technical proficiency:
    • Deep expertise in Python (including pandas, numpy, scipy, matplotlib/plotly, scikit-learn, and testing frameworks such as pytest or unittest).
    • Experience with Matlab and C/C++ desired.
    • High degree of comfort with CI platforms, Git, Jira, and Bitbucket.
    • Knowledge of signal processing methods is desired.
  • Code Development: Proven experience building and maintaining production-quality python-based architectures.
  • Approach: Combines systematic, detail-oriented thinking with creativity and the ability to apply the 80/20 rule effectively when quick turnarounds are expected.
  • Communication: Rock solid written and verbal communication skills for both technical and non-technical audiences.

#LI-Hybrid

9/80 Work Week

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