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Sr Machine Learning EngineerPayPal • Austin, Texas, United States
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Sr Machine Learning Engineer

PayPal
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

Job Summary PayPal, Inc. seeks Sr Machine Learning Engineer in Austin, TX. Responsibilities Evaluate and validate high‑impact statistical and AI/ML models across key business areas. Perform comprehensive quantitative and qualitative model validation in alignment with internal Model Risk Management (MRM) Policy and industry standards. Assess model data integrity, design soundness, and performance robustness to identify and report potential risks and deficiencies. Provide risk oversight on the engineering, automation, and production deployment of sophisticated machine learning models. Build scalable systems with Python and cloud platforms, and architect end‑to‑end pipelines for real‑time data ingestion, model serving, and monitoring. Lead technical projects, coordinate project roadmaps, and mentor junior engineers while integrating cutting‑edge methods in deep learning and generative AI. Ensure system reliability, regulatory compliance, and technical innovation through collaboration with DevOps, IT, and business partners. Drive transformative change across products and services through continuous improvement, advanced model tuning, and implementation of system‑wide best practices for performance, scalability, and ethical AI use. Partial telecommuting permitted from within a commutable distance. Minimum Requirements Master’s degree, or foreign equivalent, in Data Science, Computer Science, Business Analytics, or a closely related field plus two years of experience in the job offered or a related occupation. Special Skill Requirements Experience designing and implementing scalable machine learning models using algorithms such as logistic regression, random forests, gradient boosting, and time series models to solve business problems (2 years). Experience utilizing deep learning and Generative AI architectures, including CNNs, RNNs, and large language models (LLMs), to enhance automation and decision‑making (2 years). Experience conducting exploratory data analysis (EDA), statistical modeling, and visualization to identify trends, detect anomalies, and inform model improvements (2 years). Experience programming in Python for model development, validation, and automation using libraries such as pandas, scikit‑learn, TensorFlow, and PyTorch (2 years). Experience writing and optimizing complex SQL queries for data extraction, transformation, and analytics in large‑scale environments (2 years). Experience developing, validating, and maintaining statistical and AI/ML models for risk management, fraud detection, AML, and compliance in alignment with Model Risk Management (MRM) standards (2 years). Experience performing comprehensive model validation, including data quality assessment, benchmarking, back‑testing, and performance evaluation (2 years). Experience preparing model documentation, validation reports, and findings in compliance with internal governance and regulatory standards (2 years). Additional Responsibilities & Preferred Qualifications EOE, including disability/vets. Base pay for this role will depend on location and experience. Expected salary range: $117,500 - $199,500 per annum for Austin, TX, with a 40‑hour work week, Monday through Friday, 9:00 a.m. to 5:00 p.m. Additional compensation may include an annual performance bonus, equity, or other incentive compensation. Must be legally authorized to work in the U.S. without sponsorship. Hybrid Work Model For the majority of employees, PayPal’s balanced hybrid work model offers three days in the office for effective in‑person collaboration and two days at a choice of either the PayPal office or home workspace, ensuring balanced benefits and conveniences of both locations. Benefits PayPal offers comprehensive choice‑based programs to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. The benefits include generous paid time off, healthcare coverage for employees and families, resources for financial security, and support for mental health. Additional benefits may include. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
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  • Austin, Texas, United States

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  • English
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