Senior ML Engineer - Production ML Pipelines

BAM Ventures

San Jose (CA)

Híbrido

USD 197.000 - 292.000

Jornada completa

Hace 11 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Healthcare for you and family
Paid time off
Equity

Descripción de la vacante

PayPal in San Jose, CA seeks a seasoned ML engineering leader to design, develop, and deploy advanced machine learning models. You will collaborate with data scientists, software engineers, and product teams to enhance services and customer experiences with scalable AI solutions.

You will build ML pipelines, ensure data quality, and deploy models to production, focusing on monitoring performance and delivering measurable business impact.

Formación

  • 5+ years of experience in ML with a Bachelor’s degree or equivalent
  • Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Expertise in cloud platforms (AWS, Azure, GCP) and data/model deployment tools

Responsabilidades

  • Lead development and optimization of advanced ML models.
  • Oversee preprocessing and analysis of large datasets.
  • Deploy and maintain ML solutions in production environments.
  • Collaborate with cross-functional teams to integrate ML into products and services.
  • Monitor and evaluate performance of deployed models and adjust as needed

Conocimientos

Machine Learning
TensorFlow / PyTorch
Cloud Platforms
Data Processing
Model Deployment

Educación

Bachelor's degree

Herramientas

TensorFlow
PyTorch
scikit-learn

Descripción del empleo

PayPal in San Jose, CA seeks a seasoned ML engineering leader to design, develop, and deploy advanced machine learning models. You will collaborate with data scientists, software engineers, and product teams to enhance services and customer experiences with scalable AI solutions.

You will build ML pipelines, ensure data quality, and deploy models to production, focusing on monitoring performance and delivering measurable business impact.

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