Join PayPal as a ML Engineer - AI/ML Platform Team

At PayPal (NASDAQ: PYPL), we champion the right of every individual to actively engage in the global economy. Our mission is to globally transform commerce, making transactions, sales, and shopping personalized and secure.

Job Overview

We are seeking a talented and creative Machine Learning Engineer to join our AI/ML Platform team based in San Jose, CA. This role requires a customer-centric, strategic, and analytical approach to decision-making, with a focus on executing at scale.

What You'll Need to Know:

You will thrive on building and optimizing platforms at scale, possess a deep passion for leveraging advanced technologies, and maintain a dedication to innovation and market success. This position offers the opportunity to solve real-world problems and gain practical experience throughout the entire Machine Learning lifecycle. You'll design, build, and optimize platforms for ML pipelines and data infrastructure, gaining domain expertise in various industries while collaborating with data scientists, researchers, and engineers.

About the Team

The PayPal AI/ML Platform team is responsible for developing the infrastructure needed by data scientists to manage the complete model development lifecycle. Our innovative ML infrastructure supports key product functions such as Fraud Risk, Compliance, Personalization, Recommendations, Customer Success, and more across PayPal.

Your Impact

Key Skills:

• Strong critical thinking and problem-solving abilities to address complex technical and non-technical challenges
• Capability to influence at all organizational levels and across multiple domains
• Aptitude for leading complex technical and data science discussions, engaging with data scientists, data engineers, analysts, and developers

Daily Responsibilities:

• Design and develop scalable and efficient platforms, enabling data scientists to build, deploy, and monitor ML solutions end-to-end
• Ensure high code quality, performance, and reliability through stringent testing, code reviews, and adherence to best practices
• Research and integrate state-of-the-art machine learning techniques, tools, and frameworks into the platform
• Communicate effectively and foster a collaborative, innovative, and continuous learning culture
• Explore advanced deep learning techniques and partner with data science and domain engineering teams to support business transformation through AI
• Build trusted partnerships with business, product, data scientists, and architecture leaders to drive optimized platform product delivery

Qualifications

Requirements:

• Proven track record in achieving engineering and platform delivery/scaling targets in high-volume, fast-paced environments
• Masters/Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, Data Mining, Information Systems, or related fields, or equivalent experience
• Proficiency in machine learning concepts, algorithms, and techniques with hands-on experience in developing and deploying ML models
• Expertise in programming languages such as Python, Go, and Java, and experience with ML libraries/frameworks like TensorFlow, PyTorch, and scikit-learn
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
• Strong communication, leadership, and mentoring skills
• Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU, and HPC
• Experience building ML infrastructure or MLOps platforms and Big Data technologies such as Hadoop, BigQuery, Spark, Hive, and HDFS

Additional Information

Company Name: PayPal

Job Title: Software Engineer 3

Travel Percent: 0%

Compensation

PayPal is committed to fair and equitable compensation practices. Compensation varies based on factors such as location and relevant skills and experience. The total package may include an annual performance bonus, equity, and benefits such as medical, dental, and vision insurance. For more details, visit . The national pay range for this role is $72,700 to $176,000.

Our Benefits

At PayPal, we believe in building an inclusive global economy, and this starts with our employees.