Principal Ai/ML Engineer, AI Solutions

Job Description

Job Description Summary As a technical lead in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Job Description Meet our team We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Principal Engineer to join our AI/ML Solution Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Your day-to-day As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org. Lead and mentor teams of ML Engineers and Software Engineers in building scalable AI systems that combine state-of-the-art models with robust engineering practices. Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders. Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, provide technical support, and drive successful project outcomes. What do you need to bring Qualifications 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 . Design Architect directions on GenAI (Prompt Engineering, Orchestration, LLMs tuning) Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Expert in multiple Programming/scripting languages, i.e., Python, Java, Scala , SQL , SQL, NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, No SQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Expertise with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Strong 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 Stay up-to-date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to build enhanced capabilities . Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Strong background in MLOps and experimentation frameworks Extensive experience with concurrent, parallel, and distributed computing, including performance tuning and optimization for large-scale applications Additional Job Description Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.