PayPal is looking to solve the problem of creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, by empowering consumers and businesses in approximately 200 markets to join and thrive in the global economy.
Requirements
- Solid proficiency in programming languages such as Python, Go and Java
- Experience with cloud platforms (e.g., GCP, AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes)
- Experience with Jupyter Notebook, Airflow, Kubeflow, Argo, GPU and HPC. Knowledge of GPU optimization and libraries is plus.
- Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS.
- Experience in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models using various ML frameworks such as pytorch, tensorflow, scikit-learn, etc.
- Stay up-to-date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities
- Proven track record of over-achieving engineering, platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment
Responsibilities
- Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
- Determines the technical tasks that other engineers will follow
- Proactively improves existing structures & processes
- Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
- Notices patterns and condenses repetition into densely meaningful generalized solutions
- Collaborates with management to set/improve standards for engineering rigor
- Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations
Other
- Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience
- Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
- Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential
- Ability to work in a flexible work environment, with 3 days in the office and 2 days at home
- 0- travel percent
