Machine Learning Engineer 3

Key Skills

Agile methodologies, Apache Hadoop, Apache Hive, AWS, Azure, Cloud computing, Data Mining, Docker, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, Spark Core, SQL

Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

What you need to know about the role:

The Global Financial Crimes & Customer Protection (GFCCP) organization is responsible for detecting and preventing financial crimes and providing protections and remediation paths for PayPal’s customers. GFCCP must run efficient and effective programs across the board which require data-driven insights to drive world-class back-office strategies, processes, policies and/or systems and tools and is now looking to hire a Machine Learning Engineer to be a part of its engineering team supporting key strategic initiatives.

Meet our team:

Fuelled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's over 350 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Hyperwallet, Venmo, Xoom, Honey and Zettle enable consumers and merchants to receive money in more than 100 currencies.

Your way to impact:

Successful candidates will offer a strong technical foundation, deep analytical capabilities, and a collaborative working style. They will possess an innate intellectual curiosity and a desire to build a deep understanding of PayPal’s products and data ecosystem. Skills in problem solving, critical thinking and handling large volumes of data will be advantageous. The candidate will interact with global cross-functional teams to address complex business requirements. The successful candidate will have exceptional interpersonal skills, abilities to manage conflicting priorities to a defined timeline, strong project management and communication.

Responsibilities:

• Write clean, high-performance, high-quality, maintainable code
• Discovering, analyzing, structuring and mining data
• Be a key engineer contributing to the design, development of the new functionalities and maintaining the existing components
• Work with data scientists and data engineers to implement scalable AI solutions to solve complex problems.
• Maintain and enhance the existing architectural documentations and create the new one as needed
• Be highly effective at working in cross-functional groups and getting results in matrixed organizations
• Highly analytical, innovative, and able to think strategically and to develop comprehensive detailed specifications

Qualifications and skills:

• B.S. in computer science or similar degree with 6+ years of experience or equivalent
• Experience working with large databases; good SQL skills
• Strong skills in Python
• Knowledge of ML application pipelines
• Exposure to Agile methodology
• Experience with Big Data Platform and frameworks (Hadoop, Hive, Spark etc.)
• Experience on data mining, feature engineering, and distributed data processing
• Experience on front end/web development technology is a plus
• Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus
• Experience with cloud technologies (Google Cloud, AWS, etc.) is a plus
• Server-side development with Java is a plus
• Solid written and oral communication skills
• Highly motivated, goal driven, can-do attitude
• Team player with an innovative, entrepreneurial mindset and ability to multi-task.