Senior ML Engineer - Healthcare Predictive AI

Hireclout

El Segundo (CA)

On-site

USD 160,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Competitive salary range $160,000 – $260,000
100% company-paid medical, dental, and vision coverage
401(k) with employer match
Generous paid time off
Collaborative workspace with team events

Job summary

Hireclout is seeking a Principal Machine Learning Engineer to lead the lifecycle of predictive models impacting healthcare. This role involves designing and deploying machine learning systems that analyze physiological data to enhance patient care. The ideal candidate will have 5-10 years of experience in ML, advanced Python skills, and the ability to collaborate effectively with multidisciplinary teams. The position offers competitive compensation, equity participation, and comprehensive health benefits.

Qualifications

  • 5–10+ years of experience developing and deploying machine learning models in production environments.
  • Strong hands-on experience applying statistical and machine learning techniques to real-world datasets.
  • Experience improving model performance through experimentation and feature engineering.

Responsibilities

  • Design, train, and improve production-grade machine learning models.
  • Collaborate with clinicians and engineers for model deployment.
  • Measure real-world impact using clinical metrics.

Skills

Machine learning
Statistical modeling
Python
Feature engineering
Data analysis
Collaboration with clinicians

Education

5+ years experience in machine learning
Strong foundation in statistics

Tools

NumPy
pandas
scikit-learn
PyTorch
TensorFlow

Job description

Hireclout is seeking a Principal Machine Learning Engineer to lead the lifecycle of predictive models impacting healthcare. This role involves designing and deploying machine learning systems that analyze physiological data to enhance patient care. The ideal candidate will have 5-10 years of experience in ML, advanced Python skills, and the ability to collaborate effectively with multidisciplinary teams. The position offers competitive compensation, equity participation, and comprehensive health benefits.
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