Sr Machine Learning Engineer

What You'll Do

• Design and develop internal-facing AI tools that help analysts explore data, generate SQL, detect anomalies, and summarize trends.
• Develop and maintain backend services and APIs to support AI and data workflows.
• Query and profile data across multiple sources (BigQuery, logs, etc.) and ensure reliable, fast access for tools.
• Collaborate closely with analysts and stakeholders to deeply understand their workflows and build what matters most.
• Integrate LLMs (e.g., OpenAI, open-source models) for natural language interfaces, auto-insights, or content summarization.
• Build intuitive UIs or work with frontend engineers to create React-based apps.
• Ensure security and compliance with internal access controls, logging, and audit standards.
• Prototype, test, and iterate quickly based on feedback and evolving needs.

• Bachelor's or Master's in Computer Science, Statistics, Engineering, or related field; 3+ years of experience in machine learning.
• Strong programming skills in Python, with experience using data and ML libraries (pandas, scikit-learn, etc.).
• Proficiency in SQL and data querying from cloud data warehouses. Ensure data quality and integrity in all processes.
• Experience with building backend APIs (FastAPI, Flask) and deploying services.
• Familiarity with LLMs and NLP concepts, and basic prompt engineering.
• Ability to build usable UIs with Streamlit, Dash, or collaborate with frontend teams.
• Strong product sense and empathy for analysts' workflows and challenges; ability to collaborate with stakeholders to understand requirements.

• Experience in risk or fraud domains (big plus).
• Experience with LLM applications like Retrieval-Augmented Generation (RAG) or semantic SQL generation.
• Cloud experience (GCP) and containerization (Docker).
• Background in MLOps, data quality monitoring, or internal tooling platforms.
• Experience with tools like Looker, Tableau from a data backend perspective.

Travel Percent: 0

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For the majority of employees, PayPal\'s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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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. 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 [email]. Belonging at PayPal: 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. Any general requests for consideration of your skills, please [link]. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.