Senior AI Machine Learning Engineer

PayPal - Austin, TX

Full-time - Mid Level

Austin, TX

Credit Intermediation and Related Activities

About the position

As a technical lead in PayPal's Enterprise AIML platform team, you will be customer-centric, strategic, and analytical in decision-making, with a strong focus on executing at scale. This role is pivotal in building and optimizing platforms that leverage cutting-edge technologies, ensuring innovation and market success. You will utilize your extensive technical expertise and practical experience in AI/ML to lead discussions with technical and data science teams, guiding them through functional definition, architecture, solution implementation, and integration within complex environments. Your proven track record in technical leadership will be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively mentoring team members. In this position, you will design and deploy scalable generative AI solutions and productize machine learning models that enhance PayPal's ability to provide a seamless customer experience. You will ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Your role will also involve driving innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform. Effective communication, listening, interpersonal, influencing, and alignment driving skills are essential, as you will need to convey important messages clearly and compellingly. Additionally, you will mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.

Responsibilities

• Design and deploy scalable generative AI solutions and productize ML models that enhance PayPal's customer experience.
• Ensure high code quality, performance, and reliability through rigorous testing and code reviews.
• Drive innovation by researching and incorporating state-of-the-art machine learning techniques and tools into the platform.
• Communicate effectively with team members and stakeholders, conveying important messages clearly and compellingly.
• Mentor team members and provide technical guidance to foster a culture of collaboration and continuous learning.

Requirements

• Masters or Bachelor's in Computer Science, Computer Engineering, Machine Learning, Data Mining, Information Systems, or related disciplines.
• 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, including Unix/Linux Shell Scripting, Python, Java, and Scala.
• Expertise in Big Data technologies such as Hadoop, Spark, HBase, and Kafka.
• Proficiency in SQL, ETL, and database design.
• Good understanding of NoSQL databases like HBase, Redis, and Aerospike.
• Good understanding of distributed systems, data streaming, and complex event processing.
• Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn.
• 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.

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• 401k plan
• Paid holidays
• Paid volunteer time
• Mental health days
• Professional development opportunities