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À propos
Essential Responsibilities
Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.
Minimum Qualifications
3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models.
Additional Qualifications & Preferred Qualifications
Research experience in ML/AI areas with publications or open-source contributions a plus
Experience with transformer-based architectures (e.g., BERT, GPT, T5), including fine-tuning and domain adaptation
Knowledge of reinforcement learning, including policy optimization, value function approximation, or bandit algorithms
Hands-on experience with graph-based models (e.g., GCN, GraphSAGE, GAT) or graph representation learning
Experience with AI or agentic systems, including exposure to LLM-based agents, autonomous decision-making components, or multi-agent workflows; ability to integrate or operationalize these capabilities within data or ML solutions.
Familiarity with LLM post-training techniques, such as RLHF, reward modeling, or alignment tuning
Experience with semi-supervised, self-supervised, or unsupervised representation learning
Knowledge of causal inference, anomaly detection, and incremental/continual learning
Exposure to synthetic data generation techniques for model training or evaluation
Prior work in fraud detection, risk modeling, or other high-impact, high-noise domains
Job Details
Subsidiary: PayPal
Travel Percent: 0%
Primary Location: San Jose, California — Pay Range: $159,500.00 - $236,500.00 Annually
Additional Location(s): No other locations are assigned to this requisition currently.
Additional compensation may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When applying directly, we will never ask you to share passwords, OTPs, or verification codes. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about identifying and avoiding recruitment fraud, please visit the PayPal careers site.
For most employees, PayPal’s balanced hybrid work model offers 3 days in the office and 2 days remote. Our benefits include comprehensive, choice-based programs to support physical, emotional, and financial wellbeing, generous paid time off, healthcare coverage for you and your family, and resources for financial security and mental health.
PayPal provides equal employment opportunity (EEO) to all persons and is committed to diversity and inclusion. The company 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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Compétences linguistiques
- English
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