Senior AI Machine Learning Engineer

PayPal - San Jose, CA

Full-time - Mid Level

San Jose, CA

Credit Intermediation and Related Activities

About the position

As a Senior ML Engineer at PayPal, you will play a pivotal role in shaping the next generation of checkout experiences for over 400 million consumers and 30 million merchants worldwide. This position focuses on designing and deploying scalable generative AI solutions and productizing machine learning models to enhance customer experiences. You will lead discussions with technical and data science teams, ensuring high-quality product delivery while mentoring team members and fostering a culture of innovation.

Responsibilities

• Design and deploy scalable generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience.
• Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
• Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.
• Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.

Requirements

• Masters / bachelor's in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
• Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
• Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.
• Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka.
• Proficiency in SQL, ETL, database design.
• Good understanding of NoSQL database like HBase, Redis, Aerospike.
• Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.
• Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

Nice-to-haves

• Experience in Azure is a plus.
• 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.

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• Annual performance bonus
• Equity compensation