Machine Learning Engineer

Job Summary

This role leads the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. The successful candidate will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions, building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

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

• 5 years of relevant experience and a Bachelor’s degree or equivalent combination of education and experience.
• Extensive experience with ML frameworks such as Tensor Flow, PyTorch, or scikit‑learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Primary Location (San Jose, California): $ – $ Annually
Additional Location (Austin, Texas): $ – $ Annually

Pay Pal offers comprehensive choice‑based programs supporting personal wellbeing, including generous paid time off, healthcare coverage for employees and their families, and resources for financial security and mental health.

Pay Pal provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity, or expression, genetic information, marital status, public assistance status, veteran status, or any other characteristic protected by federal, state, or local law. Reasonable accommodations are provided for qualified individuals with disabilities.