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Sr Machine Learning Engineer(m/w/x)
Building scalable ML pipelines and implementing algorithms for global commerce solutions. Several years designing, implementing, and deploying ML models required. Generous PTO, family healthcare coverage, financial security resources.
Requirements
- 3+ years relevant experience or equivalent education/experience
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Several years designing, implementing, deploying ML models
- Support oversight of statistical model and AI applications
- Conduct quantitative/qualitative model validation
- Collaborate to remediate model issues
- Perform AI risk governance activities
- Curiosity to learn advanced modeling/AI methods
- Capability building stakeholder relationships
- Excellent communication, writing, presentation skills
- Advanced degree in quantitative field (statistics, math, CS, engineering)
- Advanced knowledge of statistical/ML models
- Advanced coding skills for big data (Python, TensorFlow, Hadoop, Spark, SQL)
- Relevant modeling experience (credit scoring, fraud, forecasting, marketing)
- Ability to work independently and in a team
- Ability to communicate effectively with stakeholders
Tasks
- Design and develop machine learning models
- Implement algorithms to solve complex problems
- Work with data scientists and engineers
- Enhance services with AI/ML solutions
- Build scalable ML pipelines
- Ensure data quality
- Deploy models into production
- Drive business insights and customer experiences
- Optimize machine learning models
- Preprocess and analyze large datasets
- Extract meaningful insights
- Deploy ML solutions using tools and frameworks
- Integrate ML models into products
- Monitor deployed model performance
- Evaluate model effectiveness
- Support team lead in oversight
- Perform high-impact statistical model oversight
- Conduct model validation
- Identify and understand model risks
- Collaborate with business units
- Remediate model issues
- Provide expert opinion on model improvements
- Perform model and AI risk governance
- Ensure compliance with regulatory expectations
- Adhere to Responsible AI practices
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
- Python
- Hadoop
- Spark
- SQL
Benefits
More Vacation Days
- Generous paid time off
Healthcare & Fitness
- Healthcare coverage for you and your family
Other Benefits
- Financial security resources
Mental Health Support
- Mental health support
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Sr Machine Learning Engineer(m/w/x)
Building scalable ML pipelines and implementing algorithms for global commerce solutions. Several years designing, implementing, and deploying ML models required. Generous PTO, family healthcare coverage, financial security resources.
Requirements
- 3+ years relevant experience or equivalent education/experience
- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Several years designing, implementing, deploying ML models
- Support oversight of statistical model and AI applications
- Conduct quantitative/qualitative model validation
- Collaborate to remediate model issues
- Perform AI risk governance activities
- Curiosity to learn advanced modeling/AI methods
- Capability building stakeholder relationships
- Excellent communication, writing, presentation skills
- Advanced degree in quantitative field (statistics, math, CS, engineering)
- Advanced knowledge of statistical/ML models
- Advanced coding skills for big data (Python, TensorFlow, Hadoop, Spark, SQL)
- Relevant modeling experience (credit scoring, fraud, forecasting, marketing)
- Ability to work independently and in a team
- Ability to communicate effectively with stakeholders
Tasks
- Design and develop machine learning models
- Implement algorithms to solve complex problems
- Work with data scientists and engineers
- Enhance services with AI/ML solutions
- Build scalable ML pipelines
- Ensure data quality
- Deploy models into production
- Drive business insights and customer experiences
- Optimize machine learning models
- Preprocess and analyze large datasets
- Extract meaningful insights
- Deploy ML solutions using tools and frameworks
- Integrate ML models into products
- Monitor deployed model performance
- Evaluate model effectiveness
- Support team lead in oversight
- Perform high-impact statistical model oversight
- Conduct model validation
- Identify and understand model risks
- Collaborate with business units
- Remediate model issues
- Provide expert opinion on model improvements
- Perform model and AI risk governance
- Ensure compliance with regulatory expectations
- Adhere to Responsible AI practices
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
- Python
- Hadoop
- Spark
- SQL
Benefits
More Vacation Days
- Generous paid time off
Healthcare & Fitness
- Healthcare coverage for you and your family
Other Benefits
- Financial security resources
Mental Health Support
- Mental health support
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
PayPal
Industry
FinancialServices
Description
The company has been revolutionizing commerce globally for over 25 years, providing innovative payment solutions for consumers and businesses.
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