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PayPal

Staff Machine Learning Engineer

PayPal
Austin, TX $179k - $265k/yr Full time Posted 22d ago
Ai Ml Artificial Intelligence Cloud Cloud Native Cloud Operations Cloud Platform Cloud Platforms Cloud Platforms Cloud Platforms Data & Ai Data Science Deep Learning Google Cloud Machine Learning Machine Learning Engineer PyTorch scikit-learn TensorFlow
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Job Description

The role focuses on leading the end-to-end work of advanced machine learning, from model design through production deployment, while working closely with data scientists, software engineering, and product partners. This position is based in Austin, TX and follows a hybrid work arrangement.

Location and Compensation

  • Primary Location: San Jose, California  |  $196,500.00 - $291,500.00 annually
  • Additional Location: Austin, Texas (hybrid)  |  $178,500 - $265,100 per year

Travel: 0%

Role Summary

Serve as a technical leader responsible for the design, development, and implementation of advanced machine learning models and algorithms to address complex business problems. Establish scalable machine learning pipelines, maintain high data quality standards, and support the deployment of models into production systems. Coordinate across disciplines to ensure models are integrated effectively into products and services.

Responsibilities

  • Lead the development and optimization of advanced machine learning models.
  • Oversee preprocessing and analysis for large datasets.
  • Deploy and maintain machine learning solutions in production environments.
  • Collaborate with cross-functional teams to integrate machine learning models into products and services.
  • Monitor and evaluate deployed model performance, then apply necessary adjustments.

Required Qualifications

  • 5+ years of relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
  • Extensive experience with machine learning frameworks including TensorFlow, PyTorch, or scikit-learn.
  • Expertise in cloud platforms including AWS, Azure, or GCP, along with tools for data processing and model deployment.

Technical Skills

  • Machine Learning: TensorFlow, PyTorch, scikit-learn
  • Cloud Platforms: AWS, Azure, GCP

Benefits

  • Comprehensive, choice-based programs supporting personal wellbeing across physical, emotional, and financial areas
  • Generous paid time off
  • Healthcare coverage for you and your family
  • Resources to create financial security
  • Support for mental health

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