Source Job

US Unlimited PTO

  • Develop and implement data algorithms and machine learning models for biometric data analysis.
  • Clean and preprocess raw physiological data and apply feature extraction techniques.
  • Create data visualizations and dashboards to present results to stakeholders.

Python Machine Learning Data Analysis

3 jobs similar to Senior Algorithm Engineer

Jobs ranked by similarity.

$160,000–$215,000/yr
US

  • Design, develop, and optimize algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.

Cellanome is a well-funded start-up tackling some of the biggest challenges facing biology today. They have a world class team of engineers, scientists, team builders and problem solvers to develop the next generation technologies.

US

  • Develop and deploy advanced analytical models, including machine learning, predictive modeling, forecasting, and anomaly detection.
  • Apply AI/ML techniques to solve complex business problems and identify patterns, risks, and opportunities within large, multi-source datasets.
  • Design, build, and maintain scalable analytical solutions and reusable data science frameworks.

Cook Research Inc. is a global, family-owned company committed to improving patients’ lives since 1963. They value every voice, bring together inclusive teams who collaborate well, and encourage learning and innovation.

US Canada Unlimited PTO

  • Collect and analyze vibration and temperature data at client sites.
  • Evaluate machinery health through detailed analysis of vibration data.
  • Develop software modeling and programs to improve data processing.

AssetWatch empowers manufacturing uptime through condition monitoring. They are a devoted team of engineers and business leaders building the future of predictive maintenance.