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Posted 34m ago•San Francisco

Machine Learning Engineer (Mid-Level)

MiddleOn-site (San Francisco)Salary undisclosed
Required Skills
PythonAWSGCPKubernetesDockerPyTorchTensorFlow
Job Description

About the Role

Join a small, fast-moving team building AI-powered talent and recruiting technology. You will design, deploy, and maintain machine learning systems across the full lifecycle, helping turn product needs into reliable production capabilities.

What You'll Do

  • Design, train, and evaluate machine learning models for production use cases.

  • Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring.

  • Work with product and engineering partners to translate business requirements into ML solutions.

  • Debug and improve models in production using monitoring data and real-world feedback.

  • Write maintainable code and contribute to ML infrastructure and tooling.

  • Participate in code reviews and share knowledge with teammates.

What We're Looking For

  • A degree and at least 3 years of professional machine learning or software engineering experience, including building and deploying production ML systems.

  • Strong understanding of model selection, evaluation metrics, feature engineering, and validation techniques.

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