PayPal
Sr. Machine Learning Engineer
San Jose, California, United States of America · Senior
No sponsorship$194k-$246kDetected 4 days ago
PythonReactDockerCI/CDRESTMachine LearningDeep LearningPyTorchData EngineeringNLPLLMsAgentic AIMLOpsLangGraphA/B TestingCommunicationCollaboration
About the role
- Machine Learning Engineer in San Jose, CA
- Review machine learning models and agents.
- Work with data engineers to collect, clean, and prepare data for modeling.
Responsibilities
- Maintain the existing fraud prevention system.
- Develop prototypes and conduct experiments to validate model approaches.
- Optimize models for performance, accuracy, and scalability in production.
- Collaborate with software engineers to deploy models into live systems.
- At PayPal, we're committed to building an equitable and inclusive global economy.
Requirements
- Experience with large language model (LLM) Fine-Tuning, including utilizing post-training optimization methods and designing datasets, prompts, and evaluation methodologies (6 months);
- Experience with data engineering for LLMs: data cleaning, synthesis, augmentation, labeling automation, and dataset quality control (1 year);
- Experience with LLM Evaluation and Experimentation: building offline and online evaluation pipelines, and using A/B testing, simulation-based evaluations, or agentic task benchmarks (1 year);
- Production ML Systems and MLOps: model deployment, inference optimization, performance monitoring, and scaling using frameworks (vLLM, Ray Serve, Triton, Cosmos) (2 years);
- Experience with Cloud and Compute Infrastructure: GPU compute (A100/H100), containerization (Docker), and job orchestration tools (6 months);
- Experience with writing clean, scalable, production-ready code for ML pipelines and agent frameworks using the following
- Experience with writing clean, scalable, production-ready code for ML pipelines and agent frameworks using the following skills: Python, code modularity, testing, debugging, and CI/CD (3 years).
- Must be legally authorized to work in the U.S. without sponsorship.
Nice to have
- The base pay for this role will depend on where you work and the relevant experience and expertise you bring.
- Master's degree, or foreign equivalent, in Computer Science, Control Engineering, or a closely related field, plus three years of experience in the job offered or a related occupation.
- Employer will accept a Bachelor's degree, or foreign equivalent, in Computer Science, Control Engineering, or a closely related field, plus five years of experience in the job offered or a related occupation.
Skills
- Python, code modularity, testing, debugging, and CI/CD (3 years).
- Additional Responsibilities &
- model deployment, inference optimization, performance monitoring, and scaling using frameworks (vLLM, Ray Serve, Triton, Cosmos) (2 years);
- Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued.
- Any general requests for consideration of your skills, please Join our Talent Community.
- Please don't hesitate to apply.
Compensation
- $193,978.00-246,000.00 per annum.
- Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Benefits
- Stay informed on the latest developments in machine learning and apply them as appropriate.
Company info
- Click Here to learn more about our culture and community.
- 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.
- Belonging at PayPal:
- 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.
- Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging.
- We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
- We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates.
- We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
Visa & Work Authorization
- Must be legally authorized to work in the U.S. without sponsorship.
This listing is sourced directly from PayPal's careers page and normalized into a canonical job model.