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Machine Learning Engineer (Mid-Level)

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Machine Learning Engineer (Mid-Level) in USA new

  • San Francisco, CA

Responsibilities

  • Design, train, and evaluate machine learning models for production use cases.
  • Build end-to-end ML pipelines covering data preprocessing, model serving, and monitoring.
  • Partner with product, engineering, and domain experts to turn business requirements into ML solutions.
  • Debug and improve production model performance using monitoring data and real-world feedback.
  • Write maintainable code and contribute to ML infrastructure and tooling.
  • Participate in code reviews and share technical knowledge with teammates.

Requirements

  • At least 3 years of professional machine learning or software engineering experience, including hands-on ownership of production ML systems.
  • Strong fundamentals in model selection, evaluation, feature engineering, and validation.
  • Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
  • Experience implementing production ML pipelines for data preprocessing, model serving, and monitoring.
  • Experience deploying and maintaining ML systems at scale with AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
  • Experience with production A/B testing or experimentation frameworks and optimizing models based on results.
  • A completed university degree and professional employment experience after graduation.
  • Ability to work through ambiguity and prioritize practical impact in a dynamic environment.

Benefits

  • On-site work in San Francisco, California.

Clera

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